Senior Specialist - Data Sciences

Role Summary

We are seeking a skilled GenAI Engineer to design, build, and operationalize next-generation AI solutions leveraging Large Language Models (LLMs), AI agents, Retrieval Augmented Generation (RAG) architectures, and scalable cloud platforms. This role requires strong hands-on expertise across AI concepts, model integration, data pipelines, and MLOps/CICD.

Key Responsibilities

• GenAI LLM Engineering
  • Design and deploy LLM-powered applications using leading foundation models from OpenAI, Azure, Anthropic, and open-source LLMs.
  • Build LLM-based AI agents capable of multistep reasoning, tool use, orchestration, and autonomous workflows.
  • Engineer robust prompting strategies, memory mechanisms, and tool-augmented reasoning.
  • Implement and optimize agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, and CrewAI.
• RAG and Knowledge Systems Design and Implementation
  • Design and implement Retrieval Augmented Generation (RAG) architectures.
  • Build embedding pipelines using vector databases such as FAISS, Pinecone, Weaviate, Azure AI Search, and Chroma.
  • Optimize document ingestion, chunking strategies, metadata management, and reranking for accuracy, relevance, and performance of AI-generated responses.
• Machine Learning Model Integration
  • Apply practical ML concepts including classification, clustering, ranking, and similarity search where applicable.
  • Integrate traditional ML models with LLM-based systems for hybrid AI solutions.
  • Evaluate, fine-tune, and test models using appropriate performance metrics.
• Data Engineering and Pipelines
  • Develop and maintain data pipelines for structured and unstructured data using Python and SQL.
  • Work with large datasets, APIs, and streaming and batch processing frameworks.
  • Ensure data quality, lineage, observability, and governance within AI workflows.
• MLOps CICD and Productionization
  • Build CICD pipelines for AI and ML workloads including model versioning and automated testing.
  • Deploy AI services in containerized environments (Docker, Kubernetes).
  • Implement monitoring for model performance, drift, latency, and cost.
  • Ensure security, access control, and compliance for AI systems.
• Cloud Platform Engineering
  • Design and deploy AI solutions on cloud platforms such as AWS, Azure, or GCP.
  • Leverage managed AI services, serverless components, and scalable infrastructure.
  • Optimize cost, performance, and reliability of AI workloads.
• Collaboration and Stakeholder Engagement
  • Partner with product, platform, and business teams to translate requirements into AI solutions.
  • Document architectures, design decisions, and operational runbooks.
  • Provide guidance on GenAI best practices, risks, and responsible AI usage.

Required Skills and Experience

• Strong proficiency in Python and working knowledge of SQL.
• Solid foundation in AI concepts with hands-on experience deploying models.
• Proven experience with LLMs, AI agents, and agent frameworks.
• Experience implementing CI/CD pipelines for AI or ML systems.
• Strong understanding of data pipelines and distributed data processing.
• Experience working on at least one major cloud platform (AWS, Azure, or GCP).

Preferred

• Experience with finetuning LLMs, LoRA, PEFT, RLHF concepts.
• Familiarity with evaluation frameworks for GenAI hallucination testing, grounding latency benchmarks.
• Exposure to governance, security, and compliance considerations for enterprise AI.

Education

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience.

What Success Looks Like

• Scalable, reliable GenAI solutions deployed to production.
• Well-architected AI agents delivering measurable business value.
• High-quality, explainable, and maintainable AI systems.
• Strong collaboration across engineering, data, and business teams.

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/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.

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.