AI/ML Lead--Looking for 12 to 15 Years of profiles--Hartford, Connecticut (Onsite)

[akash goyal]

Hi!!

Hope you are doing great!!

Please review the requirement below and share the updated resume, including the candidate’s work authorization and rate expectation

LinkedIn ID - linkedin.com/in/akash-goyal-4470551a0

Job Role - AI/ML & Agentic Architecture Designer

Location - Hartford, Connecticut (Onsite)

Job Type - Contracting

AI/ML & Agentic Architecture Design

• Architect and deliver Agentic AI systems leveraging LLMs, autonomous agents, tool‑using agents, and multi‑agent orchestration frameworks.

• Architect LLM‑powered systems for enterprise use cases.

• Design end‑to‑end ML and GenAI architectures including data pipelines, vector databases, RAG patterns, guardrails, AI governance frameworks, and human‑in‑the‑loop workflows.

• Evaluate and integrate modern frameworks such as Langgraph, LangSmith, LlamaIndex, Semantic Kernel, AutoGen, or enterprise agent platforms.

• Define architecture blueprints, solution patterns, reusable components, and best practices for scalable AI adoption.

Model Development & Engineering

• Build, fine‑tune, and optimize ML/Deep Learning/NLP/LLM models using Python and mainstream ML frameworks (e.g., TensorFlow).

• Lead experimentation, prototyping, and PoCs for autonomous agents, task decomposition, planning, and self‑improving AI workflows.

• Implement safety, governance, explainability, drift monitoring, and compliance controls for enterprise AI systems.

MLOps & GenAI Ops

• Architect scalable CI/CD pipelines for AI/ML/Agentic solutions.

• Deploy AI systems using Docker/Kubernetes and managed ML platforms.

Collaboration & Leadership

• Partner with business teams to translate strategic objectives into AI‑driven solutions.

• Conduct architectural reviews and guide data scientists, ML engineers, and developers.

• Communicate trade‑offs, risks, and architectural decisions clearly to stakeholders.

Core Experience & Skills

• Overall experience: 10–15 years.

• 8+ years in AI/ML Architecture.

• 3+ years in Agentic AI/LLM‑based systems.

• Strong expertise in Python, TensorFlow, ML & LLMs.

• Hands‑on cloud experience (AWS, Azure, GCP).

• Experience in Pharmacy & Healthcare domains.

• Proven ability to design and deploy AI agents on enterprise‑grade runtimes (e.g., Amazon Bedrock AgentCore) including containerized execution, session management, and secure endpoint exposure.

• Hands‑on with agent runtime capabilities: state management, memory handling, asynchronous execution, and external API/tool integration.

• Knowledge of observability, monitoring, debugging of agent executions including tracing, performance tuning, and failure recovery.

• Experience with LLM‑as‑a‑judge, human‑in‑the‑loop evaluation, rubric‑based scoring models for qualitative assessment.

• Knowledge of hallucination detection, bias/safety evaluation, and grounding validation for enterprise AI systems.

Generic Leadership Skills

• Excellent communication (oral and written), facilitation, presentation, and organization skills.

• Strong analytical and problem‑solving abilities.

• Ability to operate in a fast‑paced environment and manage multiple projects simultaneously.

• Demonstrated organization and prioritization capabilities.

Nice to Have

• Understanding of pharmacy workflows.

• Familiarity with healthcare standards: FHIR, HL7, NCPDP, EHR/EMR systems.

• Exposure to healthcare compliance frameworks: HIPAA, GxP, FDA regulations.