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Lead AI Engineer - Atlanta, GA

Digital Technology Solutions

Atlanta, Georgia • Today

Easy Apply

Contract

Depends on Experience

Senior AI Engineer/ Lead AI Engineer(Local to GA Only)

Trigint Solutions

Hybrid in Atlanta, Georgia • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Backend Engineer (AWS Serverless & AI Platforms) - Atlanta,GA(hybrid)

Cyberobotix

Hybrid in Atlanta, Georgia • 3d ago

Easy Apply

Contract, Third Party

60+

Sr AI Engineer-Alpharetta, GA, USA-Hybrid

StoneGate-Technologies LLC

Hybrid in Alpharetta, Georgia • Yesterday

Easy Apply

Contract

$60,000 - $140,000

Lead AI Engineer

Blackstraw LLC

Remote • 13d ago

Easy Apply

Full-time

Depends on Experience

Lead AI Engineer

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer

V-Work Infotech Solutions INC

Remote • 9d ago

Easy Apply

Contract

45 - 50

Lead AI Engineer

Jahnel Group

Remote or Schenectady, New York • 24d ago

Full-time

USD 120,000.00 - 175,000.00 per year

Lead AI Engineer

KeyCorp

Remote • Today

Full-time

USD 96,000.00 - 181,000.00 per year

Lead AI Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.

TechniPros, LLC

Remote or Columbia, South Carolina • Today

Easy Apply

Contract

Depends on Experience

AI Solutions Engineer Lead

Elevance Health

Atlanta, Georgia • Today

Full-time

Lead AI Engineer- Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Lead AI/ML Engineer

Slate Auto

Remote • Today

Full-time

USD 156,560.00 - 260,933.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 20d ago

Full-time

USD 145,500.00 - 249,500.00 per year

Sr. Principal Data Scientist (Agentic AI)

Warner Bros. Discovery

Atlanta, Georgia • Today

Full-time

Senior Data/Machine Learning Engineer

The Coca-Cola Company

Atlanta, Georgia • Today

Full-time

AI Engineering Lead

Talent Groups

Remote • 9d ago

Easy Apply

Contract

Depends on Experience

Senior Principal Ai Architect W/ Healthcare IT experience(Must)

Balin Technologies LLC

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Lead AI Software Developer

Leidos

Remote • Today

Full-time

USD 87,100.00 - 157,450.00 per year

Senior Lead Applied AI Scientist

Lumen

Remote • Today

Full-time

USD 176,310.00 - 220,386.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior Data Scientist & Product Manager (17607)

Baer

Hybrid in Atlanta, Georgia • 2d ago

Easy Apply

Contract

Depends on Experience

AI/ML Engineering Lead

Protective

Remote or Nebraska • Today

Full-time

USD 124,500.00 - 180,000.00 per year

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Remote • Today

Full-time

USD 165,000.00 - 195,000.00 per year

Lead AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 154,900.00 - 193,600.00 per year

Sr Generative AI Scientist II - (Model Risk)

Cotiviti

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Senior Software Engineer - AI ML

Cotiviti

Remote • Today

Full-time

USD 132,000.00 - 155,000.00 per year

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr. AI/ML Engineer - OptumHealth - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Job Details

Skills

Artificial Intelligence
API
Amazon Web Services
Collaboration
Functional Design
Functional Requirements

Summary

DTS is looking for experienced Lead AI Engineer for our Direct Client position based in Atlanta, GA

Job Description:

You will work closely with a client team in Atlanta to design and build a conversational AI product on AWS in a fast-paced environment. You will lead requirement gathering with business and technical stakeholders, own the end-to-end architecture, make fast technical calls, and stay hands-on so the team moves from concept to a production-ready release on an accelerated timeline. You are equally comfortable at a whiteboard with client leadership and in a code review with engineers.

What you will do

Lead requirement gathering: run discovery workshops with business and technical stakeholders, map user journeys and conversation flows, capture functional and non-functional requirements, and turn them into a prioritised backlog with clear acceptance criteria.
Define the target architecture for the product early and decisively — conversational AI, RAG and agents on AWS Bedrock/Bedrock AgentCore.
Design chatbots and assistants that can serve thousands of concurrent users with predictable latency, cost and uptime.
Architect agent ecosystems using MCP for tool and data access and A2A for agent-to-agent collaboration.
Drive rapid, iterative delivery: get to a working MVP quickly, then harden, load test and take the product to production readiness.
Build hands-on alongside the team: agent code, prompts, retrieval pipelines, integrations with data platforms and enterprise systems, and infrastructure as code.
Set standards for LLMOps: evaluation, prompt and model versioning, observability, guardrails and cost governance.
Own non-functional design: security, identity and access, PII handling, compliance, resilience and disaster recovery.
Work as part of the client team: shape scope and trade-offs with stakeholders, run weekly demos and present architecture and progress to client leadership.
Run design reviews, mentor engineers and hand over a documented, operable platform (runbooks, architecture decisions, cost model) at the end of the engagement.

Must have

Enterprise delivery: architected and delivered multiple production-grade GenAI or conversational AI products end to end, including at least one taken from concept to production on a tight timeline.
Embedded, fast-paced delivery: worked as part of consulting or client teams; comfortable with ambiguous scope, weekly demos and senior stakeholder exposure.
Requirements and discovery: led discovery and requirement workshops for AI products; able to translate business goals into use cases, conversation flows, user stories and measurable success criteria.
Hands-on builder: writes production Python and infrastructure as code (CDK, Terraform or CloudFormation) — not a diagram-only architect.
Conversational AI: production chatbots or virtual assistants with multi-turn context, intent handling, session memory, human handoff and multichannel delivery (web, mobile, messaging, contact centre).
Chatbot scale: designed systems running at high concurrency in production. Candidates should state peak concurrent users, p95 latency and daily conversation volume they handled.
Scale engineering: response streaming, provisioned throughput and quota planning, semantic and response caching, load testing, autoscaling and graceful degradation under model rate limits.
RAG: retrieval pipeline design — chunking, embeddings, hybrid search, reranking, metadata filtering, vector stores (OpenSearch, pgvector, Aurora, Pinecone or similar) and groundedness evaluation.
AWS Bedrock (essential): foundation model selection, Knowledge Bases, Guardrails, Agents, model evaluation and cost optimisation.
Bedrock AgentCore (essential): Runtime, Memory, Gateway, Identity and Observability for deploying and operating agents securely at scale.
MCP: designed MCP servers and clients that expose enterprise APIs and data as governed tools, including authentication and authorisation.
A2A and multi-agent: orchestration patterns (supervisor, hierarchical, peer-to-peer) using A2A and frameworks such as Strands Agents, LangGraph or CrewAI.
Foundations: strong AWS architecture (serverless, containers, networking, IAM, security), distributed systems and API design; Python hands-on.
Responsible AI: guardrails, hallucination control, prompt-injection defence, auditability and data privacy in regulated environments.
LLM observability and evaluation: Langfuse, Ragas, Bedrock evaluations or similar tools to trace, monitor and evaluate LLM applications.
Location: based in or able to relocate to Atlanta; US work authorisation required.

Nice to have

Voice AI with Amazon Connect, Lex or speech models.
Equivalent platforms on Azure OpenAI, Vertex AI or Databricks Mosaic AI.
Fine-tuning, distillation or small-model deployment for cost and latency.
Product mindset: conversational UX design, user feedback loops and A/B testing of prompts or flows.
AWS Certification on AI/GenAI
Domain experience in Finance

DTS offers excellent compensation package.

Contact:

Pankaj Kumar

Digital Technology Solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10122283
Position Id: 9102526
Posted 2 hours ago

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Contact the job poster

Gary Sidhu

Operations Head @ Digital Technology Solutions

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Hybrid in Atlanta, Georgia

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Position 1: Senior AI Engineer JD:- Senior AI Engineer Conversational & Agentic AI Job Description: Experience 5 10 years overall, 3+ in GenAI/Agentic AI Focus Build conversational AI based product on AWS Location Atlanta, GA (USA) About the role You will work closely with a client team in Atlanta to build a conversational AI product on AWS in a fast-paced environment. You own major components end to end, turn the architecture into production-quality code, and help the team move from concept to

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Hybrid in Atlanta, Georgia

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Job Title: Principal AI Architect Location: Atlanta GA Work Mode: 5 days onsite (Let me know if anybody asks for 3-4 days) AI Architect Conversational & Agentic AI Job Description Experience 10-15 years overall, 5+ in GenAI/Agentic AI Focus Design and Build conversational AI based product on AWS Location Atlanta, GA (USA) About the role You will work closely with a client team in Atlanta to design and build a conversational AI product on AWS in a fast-paced environment. You wil

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Contract, Third Party

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Senior AI Engineer — Conversational & Agentic AI

Hybrid in Atlanta, Georgia

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About the role: You will work closely with a client team in Atlanta to build a conversational AI product on AWS in a fast-paced environment. You own major components end to end, turn the architecture into production-quality code, and help the team move from concept to a production-ready release on an accelerated timeline. You are comfortable demoing to client stakeholders and leading technical work for less experienced engineers. What you will do: Build the core of the product conversational

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AI Full Stack Architect

Atlanta, Georgia

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AI Full Stack Architect 12 months contract Atlanta, GA (Hybrid) About the Role We are seeking an AI Full Stack Architect to join our AI Center of Excellence. This is a senior individual-contributor and technical leadership role for someone who has spent years in the trenches building, shipping, and scaling AI-powered systems and is now ready to set the architectural direction for the next generation of intelligent applications. You will own the end-to-end design and delivery of agentic AI sys

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