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Gen AI Tech Consultant

Iconma

 

Bloomfield, CT, USA

Posted On: 2 days ago
Experience: 12+ years
Availability: Onsite
Openings: 1
Category: Gen AI Consultant
Tenure: No Preference/Any
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Description

You will serve as a trusted AI advisor for healthcare clients, leading the design and implementation of generative and agentic AI solutions.

This role is on-site.

Responsibilities

  • Architect and deliver AI-driven solutions aligned with healthcare business objectives and operational challenges.
  • Translate complex AI concepts into clear value propositions for executives, stakeholders, and clinical teams.
  • Lead AI opportunity assessments, identify high-value use cases, and develop strategic adoption roadmaps.
  • Evaluate AI platforms, vendors, and frameworks for scalability, security, compliance, and ROI.
  • Drive discussions on AI governance, responsible AI, data privacy, and healthcare compliance requirements.

Required Skills

  • 12+ years of overall IT industry experience with strong consulting and stakeholder management.
  • Hands-on experience with OpenAI APIs, LangChain, CrewAI, AutoGen, or similar frameworks.
  • Strong understanding of Generative AI, Agentic AI, prompt engineering, embeddings, RAG architectures, and semantic search.
  • Experience integrating LLMs into enterprise applications using vector databases like Pinecone, Weaviate, Chroma, or pgvector.
  • Expertise in Python development with FastAPI, Django, or Flask, including RESTful APIs and asynchronous programming.
  • Hands-on experience with SQLAlchemy and database integration.
  • Strong experience with AWS services (EC2, S3, Lambda, EKS, Glue), Docker, Kubernetes, and microservices architecture.
  • Experience with CI/CD pipelines, DevOps practices, and distributed systems.
  • Proven experience leading enterprise AI and digital transformation initiatives within healthcare, payer, provider, or life sciences.

Preferred Skills

  • Knowledge of healthcare standards, HIPAA compliance, and data security requirements.
  • Experience with data governance and model evaluation techniques.

Education

Any Graduate

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