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<h3>Job Description</h3>
Title : Lead Automation &amp; AI/ML Engineer
Location: Washington DC Metro (Remote)
Job Type: Full-Time
 
Job Description:
As a Lead Consultant you will provide advanced technical expertise and leadership in developing automation and AI/ML solutions that help the Federal government serve the public more effectively. You will lead cross-functional teams to design, develop, and deploy intelligent automation and AI-driven systems, while ensuring high-quality, scalable, and maintainable solutions. In this role, you will mentor junior staff, contribute to professional development initiatives, and help shape innovative approaches to automation and emerging technologies. This role offers a unique opportunity to apply and expand your technical expertise across multiple disciplines, gain practical leadership experience, and drive impactful solutions with real-world outcomes.
 
Key Responsibilities:
Automation &amp; AI/ML Development:
<ul>
<li>Provide technical leadership in designing, developing, and maintaining automation, AI/ML, and data-driven solutions that improve operational efficiency.</li>
<li>Architect solutions that are modular, scalable, reusable, and easy to maintain, leveraging best practices in software engineering.</li>
<li>Integrate automation and AI systems into enterprise ecosystems using modern APIs, cloud services, and data pipelines.</li>
<li>Establish and enforce coding standards, design patterns, and engineering practices that enable high-quality solution delivery.</li>
</ul>
 
Collaboration:
<ul>
<li>Serve as a subject matter expert and technical advisor for the team.</li>
<li>Facilitate discussions with developers, project managers, data scientists, and clients to clarify requirements, constraints, and dependencies.</li>
<li>Lead open discussions on technical approaches, drive consensus, and make informed, decisive recommendations.</li>
<li>Communicate clearly, responsibly, and respectfully across technical and non-technical audiences.</li>
</ul>
 
Documentation, Reporting, and Management:
<ul>
<li>Maintain clear and concise documentation for code, models, and automations, ensuring smooth collaboration in distributed environments.</li>
<li>Review code and solution artifacts, acting as a quality gate.</li>
<li>Provide regular and transparent updates on progress, support project managers in planning and risk management.</li>
</ul>
 
Troubleshooting and Support:
<ul>
<li>Lead efforts to identify root causes of technical issues and implement effective fixes promptly.</li>
<li>Drive issue resolution with accountability, resourcefulness, and persistence.</li>
</ul>
 
Leadership, Learning, and Growth:
<ul>
<li>Mentor and coach junior staff, contributing to skill development and knowledge-sharing across the team.</li>
<li>Support internal training and professional development initiatives.</li>
<li>Stay up to date with emerging technologies in automation, AI/ML, and software engineering practices.</li>
</ul>
 
Technical Skills:
<ul>
<li>Proficient in at least one modern programming language (Python, Java, C#, or similar).</li>
<li>Familiarity with AI/ML concepts and technologies, including large language models (LLMs), natural language processing (NLP), prompt engineering, and model evaluation.</li>
<li>Hands-on experience with machine learning frameworks (TensorFlow, Porch, Scikit-learn) and end-to-end ML workflows (data preprocessing, training, deployment, and monitoring).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML and automation services.</li>
<li>Strong knowledge of data structures and formats (e.g., JSON, XML) and experience with databases (SQL and NoSQL).</li>
<li>Experience with modern version control and CI/CD practices (e.g., Git, GitHub, GitLab, Azure DevOps).</li>
<li>Applied knowledge of agile development principles and tools like Jira or Azure DevOps.</li>
<li>Experience with containerization, APIs, and enterprise integration is a plus.</li>
<li>Strong understanding of software engineering principles, including modular design, testing, and exception handling.</li>
</ul>
 
Other Qualifications:
<ul>
<li>Strong analytical and problem-solving skills, with the ability to break down complex processes and design effective solutions.</li>
<li>Excellent communication skills, able to translate complex technical concepts for diverse audiences.</li>
<li>Demonstrated eagerness to learn and adopt new technologies, while actively sharing knowledge.</li>
<li>Strong collaboration skills with the ability to address issues directly and respectfully.</li>
<li>Highly organized, detail-oriented, and proactive in solving problems.</li>
<li>Capable of working independently with minimal supervision.</li>
</ul>
 
Experience:
<ul>
<li>3–6 years of experience in software engineering, automation development, or AI/ML solution delivery.</li>
<li>Experience in a project-based work environment with regular production releases.</li>
<li>Exposure to high-volume, complex solutions or systems with a large user base is a plus.</li>
<li>Public sector consulting experience is a plus.</li>
</ul>
 
Education:
<ul>
<li>Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field, or equivalent practical experience.</li>
<li>Professional certifications in AI/ML, cloud, or automation technologies are highly desirable.</li>
<li>Scrum or PMI certifications are a plus.</li>
</ul>

Lead Automation AI/ML Engineer (Federal Government Project)

<h3>Job Description</h3>
Senior / Staff Software Engineer
 
Location: San Francisco or New York City (Hybrid)
 
About the Role
Our client a leader within the enterprise MCP space is building the AI enablement layer for enterprises adopting Model Context Protocol (MCP) a platform that securely connects AI agents to internal tools with strong controls around permissions, observability, and auditability.
 
They’re looking for a Senior/Staff Engineer who can architect and ship core platform systems while working directly with enterprise customers. This is a high-ownership, early-stage role where you’ll build foundational infrastructure and help define how enterprises adopt MCP in production.
 
What You’ll Do
<ul>
<li>Design and build scalable backend and integration systems</li>
<li>Ship APIs and connect AI agents to enterprise tools and data</li>
<li>Solve real-world integration and data transformation challenges</li>
<li>Work directly with customers to gather requirements and iterate quickly</li>
<li>Own projects end-to-end, from design to production</li>
<li>Help set engineering standards and mentor teammates</li>
</ul>
 
What We’re Looking For
<ul>
<li>7+ years of hands-on engineering experience with system design</li>
<li>Strong background building API-driven, integration-heavy platforms</li>
<li>Experience in customer-facing or enterprise environments</li>
<li>Familiarity with AI/ML-powered systems or agent tooling</li>
<li>High agency, ownership mindset, and strong communication skills</li>
</ul>
 
Nice to Have
<ul>
<li>Experience with MCP or agent/tooling standards</li>
<li>Background in agent security, permissioning, and observability</li>
<li>Enterprise-scale platform experience</li>
</ul>
 
Why This Role
<ul>
<li>High-impact ownership in a small, fast-moving team</li>
<li>Direct influence on a cutting-edge AI standard</li>
<li>Real enterprise customers and production use cases</li>
<li>Fast, founder-led interview process</li>
</ul>

Senior/Staff Engineer - AI and MCP

<h3>Job Description</h3>
An early-stage, venture-backed company building a high-performance intelligence platform powered by advanced machine learning and proprietary data processing techniques is in the search for a VP of Engineering. The core mission is to bring order and clarity to vast, messy datasets by uncovering actionable insights through scalable systems and bleeding-edge algorithms.
 
The company is solving one of the most painful problems in enterprise data operations: surfacing causality, anomalies, and performance metrics across fragmented systems. This requires deep technical thinking, cross-functional collaboration, and a culture rooted in adaptability and speed.
 
The Role
We're seeking a VP of Engineering to lead the company’s growing technical team through its next phase. This is a unique opportunity for a startup-seasoned engineering leader who thrives in ambiguity, excels at building from the ground up, and knows how to scale both teams and technology.
 
This is not a “hands-off” role. You’ll be in the trenches helping shape architecture, unblock engineers, and guide strategy while also hiring, coaching, and building a resilient, high-performing culture.
 
What You’ll Own
<ul>
<li>Leadership &amp; Team Building: Scale the engineering org significantly, while maintaining velocity, trust, and strong developer culture</li>
<li>Technical Stewardship: Guide architecture decisions across the data platform, distributed systems, and backend infrastructure</li>
<li>Operational Excellence: Bring rigor and structure to how the company builds, deploys, and measure progress as the team and product scales</li>
<li>Product Partnership: Collaborate cross-functionally to deliver fast, iterate quickly, and balance short-term execution with long-term bets</li>
<li>Recruitment &amp; Mentorship: Attract world-class engineers and help existing team members grow into leadership roles</li>
</ul>
 
What You Bring
<ul>
<li>Experience Scaling Startups: You've done the early-stage thing before (must-have) and still love it. Ideally, you've been through the zero to one journey more than once.</li>
<li>Leadership Acumen: 4+ years in engineering leadership roles, with experience leading teams of 10+ engineers</li>
<li>Technical Breadth: Strong understanding of distributed systems, cloud-native environments, and modern data infrastructure</li>
<li>Bias for Action: You love solving problems in real-time, iterating fast, and jumping into IC-level work when necessary</li>
<li>Business/Tech Translator: You serve as a trusted bridge between engineering and the business, balancing the needs of scale, speed, and strategic bets</li>
<li>Startup Mindset: Thrives in chaotic environments, doesn’t wait for a process to be handed down - builds it if needed</li>
</ul>
 
Ideal Signals
<ul>
<li>History of leading engineering at startups where you helped scale from ~10 to 30+ engineers</li>
<li>Comfortable interviewing, hiring, and managing ICs and leads</li>
<li>Exposure to ML/AI systems, especially in data-heavy environments</li>
<li>Fluent in open-source tooling and cloud infrastructure (AWS/GCP)</li>
<li>Experience working with or around GPU-accelerated environments (a bonus)</li>
</ul>
 
Why This Role
This role sits at the sweet spot of early-stage opportunity and real momentum. You’re not joining to “see if it’ll work” - you’re joining to build it as it takes off. There’s capital, traction, customers, and real runway. But the technical and organizational challenges remain wide open and that’s where you come in.
 
If you’re driven by impact, autonomy, and solving hard technical problems with sharp people - this is your moment.

Senior Vice President of Engineering

<h3>Job Description</h3>
GenAI Software Engineer
Location: Alpharetta, GA (Hybrid Onsite Required)
Long-term contract
We are seeking a highly skilled GenAI Software Engineer to join our team.
 
What You'll Do
<ul>
<li>Build hands-on GenAI prototypes, MVPs, starter code, and SDKs for internal engineering teams.</li>
<li>Use tools like GitHub Copilot, Cursor, Windsurf, or similar AI dev assistants.</li>
<li>Lead workshops, technical sessions, and demos to teach teams how to use GenAI tools effectively.</li>
<li>Meet with engineering managers to understand use cases and recommend solutions.</li>
<li>Troubleshoot technical blockers and guide teams in adopting AI-driven development patterns.</li>
<li>Research and evaluate new GenAI tools, prompting methods, and agent-based workflows.</li>
</ul>
 
Required Experience
<ul>
<li>5 years of hands-on software engineering experience.</li>
<li>Strong experience with GenAI developer tools (Copilot, Cursor, Windsurf, etc.).</li>
<li>Proven prompt engineering skills and ability to explain prompt strategies clearly.</li>
<li>Experience with MCP or agentic workflows</li>
<li>Proficiency in at least one modern language (Python, Go, Java, Node.js, .NET, etc.).</li>
<li>Cloud experience preferred (AWS).</li>
<li>Comfortable speaking with engineering teams and presenting technical concepts.</li>
</ul>
 
Nice to Have
<ul>
<li>Background with legacy systems (mainframe, SAP).</li>
<li>Experience in platform engineering, AI tooling, or internal engineering support roles.</li>
<li>Side projects or personal experimentation with LLMs or GenAI tools.</li>
</ul>
 
Who You Are
<ul>
<li>A hands-on engineer who loves experimenting with GenAI tools.</li>
<li>Strong communicator who can lead sessions and explain technical concepts clearly.</li>
<li>Curious, adaptable, and excited about the future of AI-driven development.</li>
</ul>
 
Company Overview:
• AGM Tech Solutions is a Women-Minority owned Firm relationship-based IT Consulting firm dedicated to Serving our Clients Nationwide. Our dedicated team strives to exceed the expectations of our clients and employees by building long term relationships based on Integrity, Trust, Hard Work, Commitment and our service experience. We offer a consultative approach to each and every client by taking the time to listen to their needs and help them get where they want to go by becoming an extension of their organization. We provide Information Technology staffing: High caliber talent for temporary support and project Deliverables. Direct IT placement services: Contract-to-Hire Direct Hire professionals for longer-term needs.

GenAI Engineer

<h3>Job Description</h3>
We're partnered with a startup, lead by repeat founders and backed by one of Silicon Valley's leading VC's. They're building the data layer for bug fixing production code.
 
This is an exciting opportunity to be Eng #2 at an AI coding based startup.
 
If you've built something exciting with AI agents, and are excited by working on multi-agent reasoning systems, then please apply!

Founding Engineer

<h3>Job Description</h3>
About us:
Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team &amp; a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:
 
Modernization &amp; Migration
<ul>
<li>Application &amp; Database Modernization</li>
<li>Platform Engineering (IaC/EaC, DevSecOps &amp; SRE)</li>
<li>Cloud Native Engineering, Migration to Cloud, VMware Exit</li>
<li>FinOps</li>
</ul>
 
Data &amp; AI/ML
<ul>
<li>Data (Cloud Native / DataBricks / Snowflake)</li>
<li>Machine Learning, AI/GenAI</li>
</ul>
 
Cybersecurity
<ul>
<li>Infrastructure Security</li>
<li>Application Security</li>
<li>Data Security</li>
<li>AI/Model Security</li>
</ul>
 
SDx &amp; Digital Workspace (M365, G-suite)
<ul>
<li>SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility</li>
<li>Email, Collaboration, Directory Services, Shared Files Services</li>
</ul>
 
Intuitive Services:
<ul>
<li>Professional and Advisory Services</li>
<li>Elastic Engineering Services</li>
<li>Managed Services</li>
<li>Talent Acquisition &amp; Platform Resell Services</li>
</ul>
 
About the job:
Title: Lead Applied Data &amp; AI Engineer
Start Date: Immediately
# of Positions: 1
Position Type: Full Time
Location: Hybrid in Libertyville, IL, US, 60048
 
Join our client Global IT Organization as we shape the future through data, analytics, and AI. We are seeking a strategic yet hands-on Lead Applied Data and AI Engineer to design and deliver enterprise-grade data platforms and AI solutions that drive measurable business impact. This role combines deep technical execution with architectural thinking—building robust data lakes, warehouses, and pipelines while operationalizing AI models and intelligent agents using Microsoft Azure AI services and modern frameworks.
 
Hybrid work: 3 days/week on-site at Libertyville, IL; remaining days remote.
 
Responsibilities:
 
Data Engineering &amp; Architecture
<ul>
<li>Design and build data lakes, warehouses, and lakehouse architectures using Microsoft Fabric/OneLake and Azure Data Services.</li>
<li>Implement data ingestion, transformation, and orchestration pipelines with strong error handling, logging, and observability.</li>
<li>Integrate enterprise systems (SAP S/4HANA, BW, Datasphere) into governed data platforms.</li>
</ul>
 
AI Engineering
<ul>
<li>Develop and deploy AI/ML models (LLMs, SLMs, multi-modal, traditional ML) using Python and Azure ML.</li>
<li>Build Agentic AI solutions leveraging frameworks like LangChain and Semantic Kernel.</li>
<li>Apply RAG patterns and vector databases for retrieval-based AI grounded in curated data.</li>
</ul>
 
Operational Excellence
<ul>
<li>Implement MLOps best practices for reproducible, secure deployments using Azure ML and Azure DevOps.</li>
<li>Ensure compliance with privacy and regulatory standards (PHI, PII, GDPR, HIPAA).</li>
<li>Optimize cost and performance across data and AI workloads.</li>
</ul>
 
Collaboration &amp; Leadership
<ul>
<li>Partner with global teams to integrate solutions into enterprise platforms (Power BI, Microsoft Fabric, SAP Datasphere).</li>
<li>Mentor junior engineers and promote best practices in data and AI engineering.</li>
<li>Contribute to evolving data and AI standards and reusable frameworks.</li>
</ul>
 
Essential Functions:
<ul>
<li>Lead hands-on development while applying architectural principles for scalability and governance.</li>
<li>Act as a technical thought leader in data-first AI innovation.</li>
<li>Navigate ambiguity and make informed decisions balancing data quality, time-to-value, and compliance.</li>
<li>Represent client in internal/external forums as a subject matter expert.</li>
</ul>
 
Requirements:
<ul>
<li>8–12 years’ experience in data engineering and AI/ML solution delivery.</li>
<li>Proven ability to design and implement data platforms and pipelines at enterprise scale.</li>
<li>Strong experience with Azure AI/ML tools, Microsoft Fabric, and SAP integration.</li>
<li>Bachelor’s degree in computer science, Information Systems, or related field; master’s preferred.</li>
<li>Certifications (Azure AI Engineer Associate, Azure Data Scientist Associate) are a plus.</li>
</ul>
 
Technical Skills:
<ul>
<li>Advanced Python, ML libraries (PyTorch, TensorFlow, scikit-learn).</li>
<li>Expertise in data modeling, governance, and quality frameworks.</li>
<li>Familiarity with LangChain, Semantic Kernel, and vector databases.</li>
<li>Strong understanding of MLOps, CI/CD, containerization (Docker).</li>
<li>Knowledge of Power BI enterprise modeling and Microsoft Fabric medallion architecture.</li>
</ul>
 
Preferred
<ul>
<li>Experience in MedTech or regulated healthcare environments.</li>
<li>Familiarity with SAP Datasphere and Microsoft Fabric integration patterns.</li>
</ul>

Lead Applied Data & AI Engineer

<h3>Job Description</h3>
Job Overview:
We are seeking a highly capable Field Engineer who thrives in client-facing environments and has a strong background in networking and end-user support. This role plays a critical part in the success of Cortavo’s managed service delivery model handling everything from complex onsite issues and installations to remote troubleshooting and documentation. This position demands the ability to handle multiple projects concurrently and respond positively to sudden changes in priorities.
 
The Field Engineer represents Cortavo directly with clients and their end users, and is expected to demonstrate technical proficiency, clear communication, and an ability to adapt to evolving needs and schedules.
 
This is a hybrid field role requiring:
<ul>
<li>Onsite support at client locations at least once per week (or more, based on the discretion of the hiring manager)</li>
<li>Travel on short notice to other client sites when needed</li>
<li>Occasional overnight travel, including multi-day deployments</li>
</ul>
 
*When not onsite, the Field Engineer will provide remote support and collaborate with internal teams to close tickets and improve documentation.
 
This role has dual reporting to the Service Delivery Manager and the Service Delivery Team Lead.
 
Responsibilities:
<ul>
<li>Deliver exceptional onsite and remote support for Cortavo clients and their end users</li>
<li>Install, configure, upgrade, and troubleshoot workstations, laptops, printers, and networking equipment</li>
<li>Act as the technical face of Cortavo building trust through professionalism, punctuality, and accountability</li>
<li>Maintain detailed and accurate ticket documentation, including timekeeping, notes, and scheduled tasks</li>
<li>Support Office 365, Windows 11, MacOS, network connectivity, VPNs, and basic server administration</li>
<li>Image and deploy devices as part of client onboarding and refresh initiatives</li>
<li>Conduct new user orientation and “first day” training on equipment and support access</li>
<li>Maintain clean and organized workspace setups, ensuring cable management and presentation standards</li>
<li>Respond to shifting priorities and travel on short notice as client needs arise</li>
<li>Stay overnight at client locations when required, sometimes for multiple days</li>
<li>Track and restock inventory in vehicles and field closets</li>
<li>Assist with RMAs and warranty claims for damaged or failed equipment</li>
<li>Maintain and write accurate knowledge base articles as you come across knowledge and information while working cases. Knowledge is the base of Managed Services.</li>
<li>Work collaboratively with Service Desk, Engineering, and Client Success teams on escalated support</li>
</ul>
 
Required Skills &amp; Qualifications:
<ul>
<li>Valid U.S. Driver’s License with clean driving record</li>
<li>Able to lift/move 50+ pounds and remain on your feet for extended periods</li>
<li>Willing and able to travel regionally on short notice, including multi-day overnight trips</li>
<li>Associate’s degree in related field or in progress is acceptable</li>
<li>2+ years of experience in IT support, field services, or desktop support roles</li>
<li>Strong knowledge of networking concepts (Wi-Fi, VLANs, DHCP/DNS, VPN, firewall basics)</li>
<li>Proficiency in Windows 10/11, Office 365, Teams, and desktop imaging tools</li>
<li>Strong ticket discipline: accurate time entries, clear notes, and effective follow-up</li>
<li>Comfortable juggling multiple tasks and tickets in a fast-paced environment</li>
<li>Professional and empathetic communicator, especially under pressure</li>
<li>Strong organizational skills and a commitment to documentation and process</li>
</ul>
 
Preferred Qualifications:
<ul>
<li>Bachelor's degree</li>
<li>Managed Service Provider experience</li>
<li>Microsoft Certifications, particularly any prerequisite for Microsoft 365 Certified: Enterprise Administrator Expert and Exam MS-102: Endpoint Administrator</li>
<li>Familiarity with IT hardware, software, and managed services technology</li>
<li>Proficiency in Google Suite, particularly Gmail and Google Docs</li>
<li>Working knowledge of Microsoft Intune</li>
<li>Familiarity with Entra is a plus</li>
</ul>
 
Estimated Usage of Time
<ul>
<li>50% - Onsite Installations and Troubleshooting</li>
<li>40% - Remote Helpdesk Support / Technical Support</li>
<li>10% - New Client Desktop/Laptop Builds</li>
</ul>
 
Work Environment
<ul>
<li>Competitive salary, as well as employer, contributed health benefits</li>
<li>Unlimited paid time off</li>
<li>Atlanta, GA office location</li>
<li>Access to a Company cell phone plan</li>
<li>A seat on an energetic team that collaborates and pushes each other to be better</li>
<li>A fast-paced but cooperative environment with endless potential for growth</li>
<li>Celebration events for team and Company successes throughout the year</li>
</ul>

Field Engineer

<h3>Job Description</h3>
Junior Data Engineer
Remote
12-Month Contract-to-Hire
$30–35/hr. Depending on Experience
 
We are seeking a Junior Data Engineer to support the development and maintenance of data pipelines and analytics solutions. The ideal candidate will work alongside senior engineers and analysts to help manage data infrastructure, build scalable data workflows, and support business intelligence and AI initiatives. This role is ideal for someone with a strong technical foundation and a passion for learning who is looking to grow in the field of data engineering and analytics. 
 
Requirements:
<ul>
<li>Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field. </li>
<li>0–3 years of experience in a data engineering or analytics support role. </li>
<li>Proficiency in SQL and familiarity with relational databases. </li>
<li>Exposure to Python, R, or Spark for data processing. </li>
<li>Understanding of data modeling, ETL processes, and data warehousing concepts. </li>
<li>Willingness to learn and grow within a large-scale enterprise data environment. </li>
<li>Strong communication skills and ability to work with cross-functional teams. </li>
<li>Ability to follow documented processes and work under supervision. </li>
</ul>
 
Your Responsibilities Include:
<ul>
<li>Assist in building and maintaining data pipelines and workflows. </li>
<li>Support data ingestion, transformation, and integration tasks. </li>
<li>Help manage and document data schemas and metadata. </li>
<li>Collaborate with analysts and business users to understand data needs. </li>
<li>Participate in data quality checks and troubleshooting efforts. </li>
<li>Contribute to the automation of manual data processes. </li>
<li>Learn and support cloud-based data tools and platforms (e.g., Azure). </li>
<li>Stay current with new data technologies and best practices. </li>
<li>Participate in sprint planning and agile ceremonies with the team. </li>
</ul>
 
Preferred Experience:
<ul>
<li>Exposure to cloud platforms (Azure preferred). </li>
<li>Experience with data visualization tools (e.g., Power BI). </li>
<li>Familiarity with CRM systems and customer data. </li>
<li>Understanding of the retail energy industry is a plus. </li>
<li>Certifications in data engineering or cloud technologies are a bonus. </li>
</ul>
 
What’s in it for you?
A welcoming, team-oriented environment where you’ll gain hands-on experience with a Fortune 100 company. Eight Eleven Group offers health, dental, and vision benefits, weekly pay, holiday paid time off, and sick leave.

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