AI/ML Solutions Architect (Agentic Systems)
Home Office: Tysons, VA, United States
USD 130K-216K Senior-level Full Time
Tasks
- Apply statistical/machine learning techniques
- Automate testing and code reviews
- Build data pipelines
- Build entity graphs with resolution
- Create evaluation harnesses
- Define cloud architecture end to end
- Deploy AWS cloud solutions
- Design Agentic AI systems
- Design RAG systems
- Develop AI chatbots and conversational agents
- Develop generative AI applications
- Ensure observability and cost modeling
- Establish safety and guardrails
- Fine tune embeddings and LLMs
- Implement prompt engineering
- Implement secure SDLC
- Integrate knowledge graphs
- Optimize retrieval quality
- Prototype rapidly and iterate
- Select LLM embeddings vector stores and orchestration tools
- Set up CI CD quality gates
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Employee assistance program
- Employee referral program
- Flexible spending account
- Health insurance
- Health savings account
- Long-term disability
- Paid Holidays
- Parental leave
- Short-term disability
- Transit and Parking Commuter Benefits
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AWS Strands | AWS Strands Agents | Asynchronous programming | Asyncio | Audit Logging | Boto3 | CI/CD | Concurrency | Cost modeling | CrewAI | DevSecOps | DuckDB | Elasticsearch | Embeddings | Encryption | Entity Deduplication | Entity Matching | Entity Resolution | Graph analytics | Haystack | Human-in-the-loop | IAM | Infrastructure as Code | Knowledge graphs | LLMs | Langchain | Least Privilege | MCP | Machine Learning | Machine Learning Pipelines | NLTK | NumPy | Observability | OpenCV | OpenSearch | Oracle | Orchestration frameworks | Pandas | PostgreSQL | Prompt engineering | PyTorch | PydanticAI | Python | RAG | Re-ranking | Retrieval Re-ranking | SQL | Scikit-learn | Secrets management | Secure SDLC | Strands Agents | TensorFlow | The Loop | Tool-Calling | Vector Stores | “as-code”
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