GenAI Engineer (Specialist - Data Sciences)

Role Description Title: GenAI Engineer Location: Irving, Tx

• Engineering Production Grade Development
• Handson Coding Lead the development of production ready systems with expert level proficiency in Python or PySpark
• Solution Engineering Apply advanced data structures algorithms and software design patterns to solve real world financial services challenges
• Scalability Performance Architect high scale solutions with a big picture approach ensuring system latency and infrastructure costs are optimized to drive tangible business value
• Lifecycle Management Own the transition from MVP to live solutions managing change control and enterprise level AI integration
• Advanced AI Implementation RD 40
• Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformer based architecture Orchestrate LLMasaService eg GPT4 Gemini Vertex AI alongside local SLMs eg Llama 3 Mixtral
• Agentic Workflows Build autonomous agents using frameworks such as Lang Graph preferred Crew AI or Auto Gen to automate complex multistep business logic
• MLOps Governance Take full ownership of the model lifecycle including finetuning LLMSLM monitoring model drift ground truth validation and ensuring compliance with Model Risk Management MRM standards
• UAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarks
• Leadership Solution Orchestration
• Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teams
• Strategic Communication Translate high level business requirements into sustainable high value generative AI solutions
• CoE Liaison Partner with the BFS AI CoE to bring cutting-edge RD and incubated solutions and active participation for multiple client AI solutions demo and delivery assurance to global clients
• Team Mentorship Lead and inspire a high performing technical team fostering a positive solution mind and an initiative taking culture

Technical Qualifications

• Education bachelors or masters degree in computer science Engineering or a related quantitative field
• Experience 10 years Enterprise Application development Proven track record of delivering AIML solutions in a production environment specifically within the BFSI or highly regulated sectors
• Tooling Deep expertise in Python, Lang Graph, Lang Chain Vector Databases and cloud native AI stacks Azure AI AWS Bedrock or GCP Vertex AI
• Architecture Strong foundation in microservices API design and enterprise security protocols

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.