AI/ML Tech Lead / Architect

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Relocation
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AI Summary

We are seeking an experienced AI/ML Tech Lead / Architect to partner with cross-functional teams and convert business requirements into scalable AI solutions.

Key Highlights
2+ years of Architecture experience
Strong hands-on AI/ML development experience
Experience with Google CCAI / CES platform and related components
Expertise in LLMs, ML model design, model evaluation, and MLOps
Ability to collaborate with product teams and drive solutions
Technical Skills Required
Google CCAI / CES Google Vertex AI Python Google Cloud Platform Agentic Architecture RAG (Retrieval Augmented Generation) PEFT (Parameter Efficient Fine-Tuning) LLMs (Large Language Models) ML model design Model evaluation MLOps
Benefits & Perks
Contract / C2H salary
Relocation assistance
Visa assistance
Opportunity to work with a large company (UHG)

Job Description


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Zuven Technologies Inc, is seeking the following. Apply via Dice today!

We have a high-visibility opportunity that requires someone we can trust and rely on. For this role, we are strictly considering ex-Virtusa or ex-UHG/Optum professionals only. Please share profiles along with two reference contacts (name, email ID, phone number) for validation.

Position Details

Client: UHG

Role: AI/ML Tech Lead / Architect

Type: Contract / C2H

Salary: As per market standards

Location Preference:

1 - Hartford, CT (Highly Preferred) Entire team works onsite; relocation from Day 1 required.

2 - Open to candidates willing to relocate to Hartford, CT.

3 - Candidates from Richardson, TX or Minneapolis, MN (will work onsite from UHG offices).

4 - NY / NJ / Boston candidates who can travel to Hartford as needed (least preferred).

Job Responsibilities:

  • Partner with cross-functional teams to convert business requirements into scalable AI solutions.
  • Must have 2 3 years of Architecture experience.
  • Strong hands-on AI/ML development experience.
  • Experience with Google CCAI / CES platform and related components.
  • Expertise in LLMs, ML model design, model evaluation, and MLOps.
  • Deep experience with Google Vertex AI and Python for Conversational AI.
  • Build, optimize, and deploy models on Google Cloud Platform.
  • Strong knowledge of Agentic Architecture, RAG, test/eval frameworks, eval metrics.
  • Experience with PEFT (Parameter Efficient Fine-Tuning) is a plus.
  • Ability to collaborate with product teams (e.g., Google) and drive solutions.
  • Strong customer-facing maturity and stakeholder management skills.

Skill Matrix (Share in this format)

Skill / Experience Area

Candidate Input

Total Experience

AI/ML Development (Years)

Architecture Experience (Min 2 3 Years Mandatory)

Google CCAI / CES

Google Vertex AI

LLM Experience / Model Design

Model Evaluation / MLOps

Agentic Architecture

RAG (Retrieval Augmented Generation)

PEFT (Parameter Efficient Fine Tuning)

Python

Google Cloud Platform

Conversational AI Projects

Current Location

Willing to Relocate to Hartford, CT (Yes/No)

Ex-Virtusa or Ex-UHG/Optum (Specify)

Two References (Names + Email IDs + Contact Numbers)

Availability

Visa Status

Expected Rate (USD/hr)

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