Senior AI Engineer

Role Description Senior AI engineer

Location - Dallas, TX

This is Hybrid role and there will be in-person client intevriew if shortlisted.

Description As Architect on the Agentic System Layer ASL team you will define and drive the technical architecture for agentic AI platform Daytoday responsibilities include designing and evolving the architecture for multiagent orchestration systems tooluse frameworks and LLM integration pipelines establishing patterns for agent reliability observability and guardrails at production scale leading technical design reviews and producing architecture decision records ADRs collaborating with ML engineers and software engineers to ensure platform components are scalable secure and maintainable evaluating and integrating emerging agentic AI frameworks eg LangGraph CrewAI Semantic Kernel AutoGen defining API contracts data flow patterns and integration standards across the AI platform ecosystem mentoring engineers on best practices for building productiongrade AI systems

Top 3 Mandatory Skills And Experience

• 10 years software architecture experience with at least 3 years designing AIML platform systems including handson experience with LLM orchestration frameworks LangChain LangGraph Semantic Kernel or similar
• Deep expertise in distributed systems design microservices architecture eventdriven patterns and API design RESTgRPC with strong proficiency in Python and at least one of JavaGoTypeScript
• Production experience building and deploying agentic AI systems or LLMpowered applications at scale including prompt engineering tooluse patterns RAG pipelines and agent reliabilityobservability

Nice to Have Skills

Experience with Kubernetescontainer orchestration cloud platforms AWSAzureGCP MLOpsLLMOps tooling vector databases Pinecone Weaviate pgvector knowledge graphs airlinetravel domain experience TOGAF or similar architecture certification experience with multiagent system design patterns and agent evaluationbenchmarking frameworks

Describe a great candidate that you are looking for and what skills and experience they will have A great candidate is a seasoned architect who has shipped production agentic AI systems not just prototypes They can whiteboard a multiagent orchestration system debate tradeoffs between different LLM routing strategies and then jump into code to prove out a design They understand that agentic systems at airline scale need bulletproof reliability graceful degradation and real observability They have opinions backed by experience they push back on bad ideas constructively and they make the engineers around them better

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.