Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Best Practices, Cloud Computing, Communication Skills, Computer Science, Customer Relations, Emerging Technology, Enterprise Architecture, GCP (Good Clinical Practices), Government, Leadership, Machine Learning, Management Strategy, Mentoring, Microservices, Microsoft Windows Azure, Position of Public Trust, Product Development, Product Strategy, Production Systems, Software Development, Software Engineering, System Integration (SI), Systems Scalability, U.S. National Institute of Standards and Technology (NIST), User Interface/Experience (UI/UX)
We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will provide expert guidance on the architecture, design, development, and delivery of enterprise-grade AI applications—spanning LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer / Product SME will work closely with engineering, product, UX, evaluation, governance, and client leadership to define AI capabilities that meaningfully support mission outcomes.
Contributions:
- Serve as the senior technical expert for the design and implementation of production AI systems, advising teams on architecture, model selection, orchestration strategies, and optimal development patterns.
- Lead the creation of scalable, reusable AI components, services, and frameworks that accelerate delivery across the organization.
- Partner with product teams to translate mission challenges into well-defined AI-enabled features, workflows, and technical requirements.
- Provide deep expertise on LLMs, embedding models, fine-tuning techniques, agentic systems, and retrieval-augmented generation (RAG) architectures.
- Guide engineering teams on best practices for prompt engineering, context management, document processing, evaluation-driven iteration, and safe system design.
- Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies, inference optimization, and lifecycle management of AI models and pipelines.
- Conduct technical reviews, validate solution designs, and ensure alignment with enterprise architecture, governance policies, and client goals.
- Mentor senior engineers and guide teams through complex AI development challenges with a focus on software engineering excellence and user-centered design.
- Stay current with emerging AI technologies, research, frameworks, and foundational models; evaluate their suitability for client missions and incorporate learnings into practice standards.
- Act as an expert advisor in client-facing discussions, helping stakeholders understand capability tradeoffs, risks, and opportunities associated with AI solutions.
Qualifications:- Ability to hold a position of public trust with the U.S. government.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- 8+ years of experience in AI/ML engineering, software development, or applied AI product development.
- Deep expertise in modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, and relevant orchestration tools.
- Proven experience building production-grade generative AI applications, including LLM integration, retrieval pipelines, fine-tuning, embeddings, agents, or multimodal workflows.
- Strong understanding of cloud platforms (AWS, Azure, GCP) including secure architecture patterns, serverless services, containerization, and distributed compute.
- Experience developing APIs, microservices, and scalable backend systems that integrate AI capabilities into user-facing applications.
- Strong ability to frame technical solutions in the context of mission needs and product strategy; ability to influence feature design and roadmap decisions.
- Familiarity with AI governance principles, safety constraints, evaluation frameworks, and compliance considerations for production AI systems.
- Excellent communication skills with the ability to articulate complex AI concepts to technical and non-technical audiences, including clients and executives.
- Demonstrated leadership in mentoring engineers, elevating team performance, and establishing engineering best practices.
- Preferred certifications: AWS/Azure/GCP ML Specialty, Databricks ML Professional, NIST AI RMF Practitioner (AISIC), NVIDIA DLI Certifications, or similar advanced AI engineering credentials.
C
Convergenz
"An Opportunity to Help"
It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.
By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008—we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”—we hope that we are able to help our consultants and clients through these times of uncertainty.
When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words—Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business – but do it the right way, in the boardroom and in the community.
Every day is an exercise in self-reflection —we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.
500 to 999 employees
Staffing/Employment Agencies