Full Stack AI Consultant

IKCON TECHNOLOGIES INC delivers exceptional IT services and solutions that provide clients with definite edge over competitors and promoting highest standards of quality. We are currently looking for a Full Stack AI Consultant with one of our clients in Jersey City, NJ. If you are actively looking for opportunities, please send us your updated resume with your contact details.

"U.S. Citizens and those authorized to work in the U.S. are encouraged to apply."

JOB TITLE	Full Stack AI Consultant
CITY	Jersey City
STATE	NJ
TAX TERMS	C2C, W2
EXPERIENCE	12
INTERVIEW MODE	Teams Video Call/Telephonic

JOB SUMMARY

JOB DESCRIPTION

We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization

Key Responsibilities

• Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
• Build Enterprise Shared Services and APIs that could be reused across different product teams
• Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
• Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
• Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
• Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
• Advise on engineering policies and standards that embed AI-first principles.
• Upskill existing engineers on agentic AI patterns and AI-integrated development practices.

Qualifications & Experience

• 15 years in software engineering with advisory experience.
• Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
• Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.
• Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks

• Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
• Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
• Strong understanding of LLM orchestration, prompt engineering, and AI observability.

• Insurance P&C domain experience strongly preferred.
• Excellent communication skills with the ability to influence from engineering teams to senior leadership.
• Track record of delivering measurable outcomes within time-bound engagements.