AI/ML Solutions Architect (Agentic Systems)
USD 130K-216K Senior-level Full Time
Tasks
- Apply statistical and machine learning techniques
- Build data pipelines
- Build evaluation harnesses
- Create reference implementations and prototypes
- Define solution architecture and trust boundaries
- Deploy AI in AWS environments
- Design Agentic AI systems
- Develop generative AI applications
- Establish secure SDLC and CI CD quality gates
- Implement safety patterns
- Integrate knowledge graphs
- Lead RAG initiatives
- Lead code reviews and architecture governance
- Optimize retrieval and re ranking
- Perform prompt engineering
- Select LLMs embeddings vector stores and orchestration frameworks
Perks/Benefits
- 401k retirement plan
- Carecom membership
- Dependent Care Flexible Spending Account
- Employee assistance program
- Employee learning opportunities
- Employee referral program
- Group Term Life and Travel Assistance
- Health Care Flexible Spending Account
- Health savings account
- Long-term disability
- Medical/Dental/Vision insurance
- Parental leave
- Short-term disability
- Transit and Parking Commuter Benefits
- Tuition reimbursement
- Voluntary Life and AD D Insurance
Skills/Tech-stack
AWS Strands | AWS Strands Agents | Asyncio | Automated testing | Boto3 | CI/CD | CrewAI | DuckDB | Elasticsearch | Encryption | Entity Resolution | Evaluation harnesses | Haystack | Human-in-the-loop | IAM | Infrastructure as Code | Knowledge graphs | Langchain | Least Privilege | MCP | NLTK | NumPy | Observability | OpenCV | OpenSearch | Oracle | Pandas | PostgreSQL | Prompt engineering | PyTorch | PydanticAI | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Secrets management | Strands Agents | TensorFlow | The Loop | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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