GenAI Architect

Project overview

Key Responsibilities

Lead AI adoption initiatives by developing roadmaps aligned with client priorities, identifying high-impact use cases, and integrating AI into end-to-end delivery workflows

Design and develop production-grade LLM applications and multi-agent systems with secure enterprise integrations and governed model access

Evaluate and manage trade-offs across solution quality, latency, cost, and risk

Build client proof of concepts (PoCs), guide production deployments, troubleshoot agent behavior, review code, and establish reusable architectures and engineering standards

Design and architect Generative AI solutions tailored to enterprise requirements, ensuring scalability and reliability

Lead the integration of AI technologies within existing enterprise architecture frameworks

Drive digital transformation initiatives using Agentic AI and innovative methodologies

Develop and implement APIs to support seamless integration of AI-powered solutions across platforms

Collaborate with cross-functional teams to define and refine solution architectures

Ensure compliance with enterprise and solution architecture best practices and standards

Evaluate emerging AI technologies and incorporate relevant innovations into architectural strategies

Advise senior stakeholders, support changes in technical skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists

Develop reusable technical assets, industry perspectives, and thought leadership

Establish responsible AI controls covering security, privacy, data residency, auditability, and human oversight in accordance with client and regulatory requirements

Required Qualifications

11+ years of experience

Bachelors Degree

Skills

LLM Application Development

Multi-Agent Systems

Model Context Protocol (MCP)

AI Gateway Implementation

Retrieval-Augmented Generation (RAG)

AI Coding Assistants and Autonomous Agents

LLMOps

Prompt Injection and Tool Misuse Defenses

Cloud AI Platforms

Model-Provider APIs

API Development

AI Architecture Design

Microsoft Azure AI Ecosystem

Java Backend Development

AI Transformation Leadership

Executive Communication

Team Leadership

AI Solution Architecture

Responsible AI Governance

Requirements Gathering

Code Review Facilitation

Proof of Concept Development

Thought Leadership

Mentoring and Coaching

Schedule

Start date: 2026-11-12

Job Facts: Contract W2 | On-site | DOE

Skills: Roadmaps, Use Cases, Workflow, Management, Generative Artificial Intelligence (AI), Scalability, Enterprise Architecture, Collaboration, Regulatory Compliance, Privacy, Application Development, Systems Modeling, Microsoft Certified Professional, Cloud Computing, API, Microsoft Azure, Java, Backend Development, Leadership, Communication, Team Leadership, Solution Architecture, Artificial Intelligence, Requirements Elicitation, Code Review, Facilitation, Concept Development, Thought Leadership, Mentorship, Coaching

Reference: Dice Id: compun | Position Id: BELDC6106009

Project details

• Start: flexible
• Remote: onsite
• Location: Iselin, NJ, US, US