Highlights
The ideal candidate will have deep expertise in Retrieval-Augmented Generation (RAG) pipelines, AI coding assistants such as Claude Code, OpenAI Codex, and Cline , and experience building autonomous AI agents capable of reasoning, planning, and executing complex business workflows. This role requires a hands-on technical leader who can define AI strategy, architect enterprise-grade AI platforms, guide engineering teams, and drive innovation across GenAI, LLMOps, and intelligent agent ecosystems.
Numbers & Facts
| Location | Chantilly, VA |
| Industry | Staffing/Employment Agencies |
| Company Size | 500 to 999 employees |
| Website | http://www.ampcus.com |
Description
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Role Overview
We are seeking an experienced Senior AI Architect to lead the design, development, and deployment of next-generation Generative AI and Agentic AI solutions. The ideal candidate will have deep expertise in Retrieval-Augmented Generation (RAG) pipelines, AI coding assistants such as Claude Code, OpenAI Codex, and Cline, and experience building autonomous AI agents capable of reasoning, planning, and executing complex business workflows. This role requires a hands-on technical leader who can define AI strategy, architect enterprise-grade AI platforms, guide engineering teams, and drive innovation across GenAI, LLMOps, and intelligent agent ecosystems.
Key Responsibilities
AI & GenAI Architecture
- Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs).
- Architect advanced RAG-based systems incorporating vector databases, semantic search, enterprise knowledge repositories, and hybrid retrieval models.
- Define scalable AI architectures covering data ingestion, embeddings, retrieval, orchestration, guardrails, observability, and evaluation frameworks.
- Establish AI governance, security, compliance, and responsible AI practices.
Agentic AI & Autonomous Systems
- Design and develop multi-agent and Agentic AI solutions capable of planning, reasoning, tool usage, memory management, and workflow orchestration.
- Build autonomous agents using frameworks such as:
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- LangChain
- Implement agent collaboration, human-in-the-loop workflows, and agent monitoring mechanisms.
RAG Engineering
- Architect and optimize:
- Knowledge ingestion pipelines
- Document chunking strategies
- Embedding architectures
- Query optimization
- Re-ranking models
- Hybrid search implementations
- Work with vector databases such as:
- Pinecone
- Weaviate
- Qdrant
- Chroma
- Azure AI Search
- Elasticsearch/OpenSearch
AI Coding Platforms & Developer Productivity
- Lead adoption and integration of AI-assisted development tools including:
- Claude Code
- OpenAI Codex
- Cline
- GitHub Copilot
- Cursor
- Define standards and best practices for AI-driven software engineering and code generation workflows.
- Architect AI-powered SDLC automation capabilities.
LLMOps & Platform Engineering
- Build robust CI/CD pipelines for AI applications.
- Implement:
- Model evaluation frameworks
- Prompt management
- Experiment tracking
- Cost optimization
- AI observability
- Production monitoring
- Establish enterprise LLMOps standards and governance models.
Technical Leadership
- Mentor architects, engineers, and AI specialists.
- Define technology roadmaps and AI strategy aligned with business objectives.
- Engage with stakeholders, product teams, and executive leadership to translate business challenges into AI solutions.
- Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Experience
- 12 years of overall software engineering experience.
- 5 years in AI/ML solution architecture.
- 2 years building production-grade Generative AI applications.
- Proven experience delivering enterprise-scale AI platforms.
Technical Skills
Generative AI & LLMs
- GPT-4/5
- Claude
- Gemini
- Llama
- Mistral
- DeepSeek
- Open-source LLM ecosystems
RAG Technologies
- LangChain
- LlamaIndex
- Vector databases
- Embeddings
- Semantic Search
- Knowledge Graphs
- Hybrid Retrieval
Agentic AI
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- MCP (Model Context Protocol)
- Tool Calling
- Function Calling
- Agent Memory Architectures
Programming Languages
- Python (Expert)
- JavaScript / TypeScript
- C#
- Java (Preferred)
Cloud Platforms
- Microsoft Azure (Preferred)
- Azure AI Foundry
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
DevOps & MLOps
- Docker
- Kubernetes
- GitHub Actions
- Jenkins
- Terraform
- MLflow
- Weights & Biases
Databases
- PostgreSQL
- MongoDB
- Cosmos DB
- Redis
- Neo4j
- Vector Databases
Preferred Certifications
- Microsoft Certified: Azure AI Engineer Associate
- Azure Solutions Architect Expert
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- Databricks Generative AI Certification
About Company
Ampcus Inc is a global technology and business consulting firm specializing in Digital Transforrmation, Big Data, Analytics, Cyber Security, Testing, IV&V, Infrastructure Management and Enterprise Solutions. Ampcus Inc is an SBA 8(a) certified Women and Minority Owned global Provider of broad range of consulting Services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, their goals become our goals. We are an ISO 9000, ISO 20000, ISO 27000 and CMMi Level certified company.
Ampcus consultants have significant business, engineering and technology experience. Our consultants have over 20 years of business experience and an average of over 10 years of engineering and technology experience. This means that the project teams understand how systems work and how the technology impacts the business processes of organizations.
We believe that success of an engagement is determined by strong project management, clear communication and mutual commitment working collaboratively. Our methodology begins by listening to the customer needs, then working with their teams to gain a clear understanding of the requirements, while providing a knowledge transfer of best practices for the organization. As a recognized leader providing customized software services, management and engineering solutions to companies around the world, our ability to deliver is a "granted" that makes companies put their trust in us to answer their day-to-day business challenges and put them on a path for greater success. We are the choice for our clients because we look at our clients business from a growth perspective.
Industry: Information Technology and Services
Specialties: Digital Transformation, Big Data and Analytics, Infrastructure Management Services, Testing and IV&V, Cyber Security, Active Directory and E-mail Infrastructure, Project Management, Training, and ERP, CRM. EAI, BI
Similar Job Searches
Similar Jobs
- CPA firm
Senior IT Manager (Enterprise Data Architect & Integration Lead) (cpa firm) - Hybrid
- Bethesda, MD