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Data Scientist, Specialist
Reads like an AI Engineer role: building products on existing AI models.
Hyderabad, India
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs a Senior Data Scientist, you will lead the design, governance, and deployment of enterprise AI agents that automate knowledge-intensive business processes by combining LLMs, enterprise data platforms, and agentic workflows.
Build enterprise knowledge systems that let AI agents retrieve and reason over trusted data
Architect agentic AI systems that plan and act across tools, workflows and data sources
Design multi-agent and tool-augmented LLM solutions for complex, multi-step processes
Implement evaluation, monitoring and guardrails for LLM and agentic systems
Identify high-value business problems that agentic AI, LLMs and NLP can solve
From the employer’s posting
As a Senior Data Scientist, you will lead the design, governance, and deployment of enterprise AI agents that automate knowledge-intensive business processes by combining LLMs, enterprise data platforms, and agentic workflows. Partners with business, risk, compliance, and technology stakeholders to transform operations through trusted, scalable, and governed AI solutions that deliver measurable business outcomes.
Design and build enterprise knowledge systems that integrate structured and unstructured data across multiple business platforms
Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
Design multi‑agent and tool‑augmented LLM solutions to automate complex, multi‑step processes.
Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
Partner with business stakeholders to identify, frame, and prioritize high‑value problems that can be addressed using Agentic AI, LLMs, and NLP.
Education & alternatives
- Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles - Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a master’s degree/Diploma in a related quantitative field - Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
- Natural Language Processing (NLP): Strong experience working with unstructured text and language‑driven workflows. - MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. - 3+ years delivering AI/ML solutions in production environments.
About Vanguard
We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Aug 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Vanguard is hiring
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Python
Where the posting names them
- 3+ years delivering AI/ML solutions in production environments. - 5+ years of hands‑on Python experience; experience with distributed data processing is a plus. - Strong ability to solve business problems using AI, not just build models.
Your next step
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.
Vanguard’s India Office
Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.
Role Summary
As a Senior Data Scientist, you will lead the design, governance, and deployment of enterprise AI agents that automate knowledge-intensive business processes by combining LLMs, enterprise data platforms, and agentic workflows. Partners with business, risk, compliance, and technology stakeholders to transform operations through trusted, scalable, and governed AI solutions that deliver measurable business outcomes.
Responsibilities
Solve Business Problems with AI
- Design and build enterprise knowledge systems that integrate structured and unstructured data across multiple business platforms, enabling AI agents to retrieve, reason over, and operationalize trusted organizational knowledge.
- Partner with business stakeholders to identify, frame, and prioritize high‑value problems that can be addressed using Agentic AI, LLMs, and NLP.
- Define and implement business-centric evaluation frameworks that measure coverage, relevance, trustworthiness, explainability, and user adoption in addition to technical model performance.
- Focus on business outcomes, not just model performance.
Design & Build Agentic AI Solutions
- Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
- Design multi‑agent and tool‑augmented LLM solutions to automate complex, multi‑step processes.
- Ensure solutions are reliable, explainable, and governed for enterprise use.
Scalable & Responsible AI
- Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.
- Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
- Align solutions with enterprise risk management, compliance, and responsible AI standards.
Thought Leadership & Collaboration
- Act as a trusted AI advisor, helping teams understand where Agentic AI and LLMs add value—and where they do not.
- Contribute to AI best practices, reusable patterns, and strategic direction
- Mentor peers and teammates on applied AI and business‑driven problem solving
Qualifications and Skills
- Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
- Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a master’s degree/Diploma in a related quantitative field
- Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
- Large Language Models (LLMs): Hands‑on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
- Natural Language Processing (NLP): Strong experience working with unstructured text and language‑driven workflows.
- MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
- 3+ years delivering AI/ML solutions in production environments.
- 5+ years of hands‑on Python experience; experience with distributed data processing is a plus.
- Strong ability to solve business problems using AI, not just build models.
- Excellent communication skills, with the ability to explain complex concepts to both technical and non‑technical audiences.
- Experience working in cross‑functional, enterprise environments.
Location
This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.
Our mission
Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Our commitment to you
Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:
Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.
Physical wellness
We're committed to providing benefits that support your physical health and wellness.
Personal wellness
We're committed to providing resources that help support the full scope of your life.
How we work
Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, India
How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.