Solution Architect – Gen AI (Senior Specialist - Architecture)

Role description

Title: Solution Architect – Gen AI

Location: Irving, Tx / Tampa, FL (Hybrid – 3 days onsite)

• 12+ years of relevant experience in an engineering and architectural role in Cash Management, Intra-day Liquidity, Payments, Financial Ledger, Regulatory reporting areas in Financial Services

• 7+ years' experience in leading large scale enterprise architecture initiatives within banking, financial services industry

• Strong understanding of banking systems, financial services platforms, core banking, data platforms, market infrastructure providers, and regulatory frameworks

• Strong experience in architecting enterprise level distributed systems.

• Lead architecture governance process including architecture review boards, technology assessments, and conformance to key design principles

• World-class expertise in building GenAI led business solves, with a proven track record of designing and delivering business solutions, platforms, Products.

• Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions.

• Ability to define and articulate new architectural options and strategies to solve complex business and technical problems.

• Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape.

• Experience working on large technology projects using industry-standard delivery methodologies (e.g., Agile/Scrum/Kanban)

• Experience working in enterprise architect and technology strategy roles

• Contribute to the architectural design discussions and decisions for new features and system enhancements.

• Implement inter-service communication patterns (e.g., message queues, Kafka, distributed caching, event streams) within a microservices ecosystem.

• Contribute to the development of AI-driven features or enhancements within the application landscape.

• Integrate AI/Machine Learning models and services into existing microservices and applications

• Ability to develop working relationships

• Management and prioritization skills

• Strong decision making, forward thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences

• TOGAF Certification is required.

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.