AI Solution Architect (Hybrid Onsite And In Person Interview)

Job Title : AI Solution Architect

Location: NYC, NY / Boston, MA (Hybrid 3/4 days a week onsite)

Contract: W2 / C2C

Duration: Long term contract

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Key Skills:

Strong AWS Bedrock experience

Prompt engineering

Model development & Orchestration

ML tooling

Python Scripting

Develop Agentic Workflows.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• 8+ years of experience in solution architecture, application design, or software engineering, with at least 3+ years focused on AI/ML system architecture.
• Demonstrated experience architecting and deploying GenAI workloads using AWS Bedrock, AWS S3, OpenSearch, Lambda, and IAM.

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  Proven experience designing autonomous or semi-autonomous agentic systems, tool-use interfaces, and multi-agent collaborative workflows.
• Expert knowledge of prompt design patterns, context-window management, and output-structuring techniques.
• Fluent in Python with deep experience in AI libraries (Pydantic, AsyncIO, NumPy, Pandas, FastAPI, etc.).
• Experience setting up vector databases (e.g., Pinecone, Qdrant, PGVector), embedding models, and MLOps tracking tools.

Preferred Qualifications

• Prior experience in financial services, asset management, or banking domains.
• AWS Certified Solutions Architect or AWS Certified Machine Learning / AI Specialty certifications.
• Hands-on experience with alternative cloud providers (Azure OpenAI, Google Cloud Platform Vertex AI) and enterprise integration patterns.
• Familiarity with fine-tuning techniques (LoRA, QLoRA) and guardrailing technologies (Guardrails AI, NeMo Guardrails, AWS Bedrock Guardrails).