Senior Data Scientist
- Compensation
- Not disclosed
- Location
- Hyderabad, Telangana, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 6+ years of experience in data science, machine learning, applied AI or software engineering, including delivery of production solutions.
- Hands-on experience building LLM-powered applications or agents using prompt and context engineering, RAG, tool or function calling, orchestration and structured evaluation.
- Experience implementing multi-step workflows with enterprise integrations, exception handling, state management and human-in-the-loop activities.
- Strong Python and SQL skills, with experience writing maintainable, testable and reusable code.
- Experience integrating applications with APIs, databases, vector stores, cloud services and enterprise data sources.
- Experience operationalising AI or machine learning solutions through Git-based source control, CI/CD, testing, deployment, monitoring and ongoing optimisation.
- Working knowledge of statistical modelling, machine learning, experimental design and model validation.
- Ability to deliver complex solutions with limited oversight and collaborate effectively across technical and business teams.
Nice to have
- Experience with Anthropic Claude and AWS Bedrock, including model access, knowledge bases, agents, guardrails and enterprise integrations.
- Experience building enterprise agents with Microsoft Copilot or Copilot Studio and connecting them to Microsoft 365, Power Platform or business applications.
- Experience using Claude Code and GitHub Copilot to accelerate software development while maintaining code quality and engineering controls.
- Experience with LangChain, LangGraph or similar orchestration frameworks, and Langfuse or comparable evaluation and observability tooling.
- Experience with vector databases, semantic search, document processing, multi-agent patterns and adversarial or red-team testing.
- Experience applying predictive modelling, natural language processing, optimisation, time-series forecasting or recommendation methods.
Full description
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and focus on operating and growing their core businesses. Our full-service HR solutions include payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you are passionate about innovation and making an impact on the large SMB market, join us as we power our clients’ business success with extraordinary HR.
Do not meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles.A Brief Overview:
This is a high-impact, execution-focused role responsible for building and delivering AI-powered agents and agentic workflows that address critical business challenges. The role combines strong applied data science foundations with hands-on delivery using commonly used technology ecosystems, including Anthropic Claude on AWS Bedrock, Claude Code, Microsoft Copilot, GitHub Copilot and related frameworks and observability tools.
You will partner with Data & Analytics leaders and cross-functional teams to design and deliver scalable, secure, and compliant AI solutions in enterprise environments. This role is ideal for someone who excels at translating business needs into clear requirements and delivering high-quality AI agents that operate reliably within real-world workflows.
Key Responsibilities:Agentic AI Solution Design and Delivery
- Lead the design, development and testing of single-agent and multi-agent solutions using LLMs, prompt and context engineering, retrieval-augmented generation (RAG), tool use and structured outputs.
- Translate business problems into agent goals, workflow logic, system interactions, acceptance criteria, exception handling and human-in-the-loop controls.
- Integrate agents with enterprise platforms, APIs, MCP servers, databases, SaaS applications and governed data sources to enable secure end-to-end workflow execution.
- Build and optimise retrieval, grounding, memory and orchestration patterns that improve accuracy, traceability and task completion.