Senior Java Fullstack AI Engineer

Role description

Job Title: Senior Java Fullstack AI Engineer

Work Location: NYC (Remote)

 

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

 

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


• Handson experience orchestrating agentic AI workflows using Lang Graph Lang Chain or comparable frameworks


• Proven ability to design multiagent 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 PC 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 timebound engagements

 

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 Lang Graph including multiagent 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 CICD 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

 

 

 

Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision


• Short Term and Long-Term Disability Coverage


• 401(k) Plan with Company match


• Life Insurance


• Vacation Time, Sick Leave, Paid Holidays


• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of
this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our
employment decisions are made without regard to race, color, creed, religion, sex (including
pregnancy, childbirth or related medical conditions), gender identity or expression, national origin,
ancestry, age, family-care status, veteran status, marital status, civil union status, domestic
partnership status, military service, handicap or disability or history of handicap or disability, genetic
information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation
or preference, or any other characteristic protected by applicable federal, state, or local law, except
where such considerations are bona fide occupational qualifications permitted by law.