Gen AI Tech Consultant- Only W2

Saransh Inc; Bloomfield (CT); On-site; USD 180,000 - 240,000; Full time

Job summary

Saransh Inc. is seeking a Gen AI Tech Consultant to drive AI adoption in healthcare, leveraging Generative AI, Agentic AI, and enterprise AI platforms. The role requires 12+ years in IT and hands-on experience with OpenAI APIs, LangChain, and cloud-native architectures.

This onsite position in Bloomfield, CT partners with client teams to design scalable AI transformations. You will lead architecture and governance conversations, evaluate platforms, and collaborate with data scientists and

Qualifications

• 12+ years of overall IT industry experience.

Responsibilities

• Serve as a trusted AI advisor for healthcare clients, providing thought leadership across AI, Generative AI, Agentic AI, and intelligent automation.

Skills

Generative AI

Agentic AI

OpenAI APIs

LangChain

Prompt Engineering

RAG Architecture

Vector Databases

Python

AWS Cloud

Docker

Kubernetes

Microservices

CI/CD

Healthcare Domain

AI Strategy

Tools

FastAPI

Django

Flask

SQLAlchemy

EC2

S3

Lambda

EKS

Glue

Job description

Gen AI Tech Consultant

Location: Onsite at client office - Bloomfield, CT

W2 Position

Name

Gen AI Tech Consultant
Location: Onsite at client office - Bloomfield, CT
W2 Position
Name
Required

Large Language Model (LLM)
Yes

Open AI
Yes

AI/ML
Yes

Python
Yes

Rest API
Yes

Position Overview

We are seeking an experienced Gen AI Tech Consultant with 12+ years of industry experience to drive the adoption and implementation of Artificial Intelligence, Generative AI, and Agentic AI solutions within the healthcare domain. The ideal candidate will possess a strong combination of AI expertise, strategic consulting capabilities, healthcare industry knowledge, and hands-on technical experience to deliver innovative AI-powered solutions that generate measurable business value.

This role requires a trusted advisor who can bridge business and technology teams, define AI strategies, evaluate emerging technologies, and lead enterprise AI transformation initiatives while ensuring scalable, secure, and compliant implementations.

Key Responsibilities

• Serve as a trusted AI advisor for healthcare clients, providing thought leadership across AI, Generative AI, Agentic AI, and intelligent automation.
• Lead the design, architecture, and implementation of AI-driven solutions aligned with healthcare business objectives and operational challenges.
• Translate complex AI concepts into clear business outcomes and value propositions for executives, stakeholders, and clinical teams.
• Conduct AI opportunity assessments, identify high-value use cases, and develop strategic roadmaps for AI adoption.
• Facilitate executive workshops and stakeholder discussions to demonstrate AI capabilities and innovation opportunities.
• Evaluate AI platforms, vendors, frameworks, and emerging technologies, providing recommendations based on scalability, security, compliance, and ROI.
• Collaborate with architects, data scientists, engineering teams, and business leaders to deliver AI solutions from concept through production.
• Drive discussions around AI governance, responsible AI, data privacy, risk management, and healthcare compliance requirements.
• Monitor market trends, industry innovations, and best practices to influence AI strategy and technology direction.
• Contribute to client proposals, presentations, solution accelerators, and AI transformation initiatives.

Required Qualifications

• 12+ years of overall IT industry experience.
• Strong consulting and stakeholder management experience.
• Proven experience leading enterprise AI and digital transformation initiatives.
• Experience working within healthcare, payer, provider, or life sciences environments.
• AI / Machine Learning & Large Language Models (Must Have)
• 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.
• Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or pgvector.
• Familiarity with AI governance, responsible AI practices, and model evaluation techniques.
• Python Backend Development
• Strong expertise in Python development.
• Experience with FastAPI, Django, and/or Flask.
• Experience building RESTful APIs and scalable backend services.
• Strong knowledge of asynchronous programming patterns.
• Hands-on experience with SQLAlchemy and database integration.
• AWS Cloud & Microservices Architecture
• Strong Hands-on Experience With AWS Services Including
• EC2
• S3
• Lambda
• EKS
• Glue
• Experience with Docker and Kubernetes.
• Experience designing and deploying microservices-based applications.
• Strong understanding of distributed systems and cloud-native architectures.
• Experience with CI/CD pipelines and DevOps practices.

Preferred Qualifications

• Experience implementing AI solutions in healthcare environments.
• Knowledge of healthcare standards, compliance, and regulatory frameworks.
• Experience with data governance, HIPAA, and healthcare data security requirements.
• Strong presentation, facilitation, and executive communication skills.
• Ability to influence both technical and business stakeholders.

Required Skills Summary

• Generative AI
• Agentic AI
• OpenAI APIs
• LangChain
• Prompt Engineering
• RAG Architecture
• Vector Databases
• Python
• FastAPI/Django/Flask
• SQLAlchemy
• AWS Cloud
• Docker
• Kubernetes
• Microservices
• CI/CD
• Healthcare Domain
• AI Strategy & Consulting
• Years of Experience: 12 Years of Experience

Rate Details