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Consultant, Data Science

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
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 posting
  • Design, build and deploy agentic AI solutions for Services Operations workflows

  • Architect and orchestrate multi-agent ecosystems for interconnected use cases

  • Drive agentic AI strategy, best practices and governance frameworks

  • Prototype agent-based capabilities with business, engineering and operations stakeholders

From the employer’s posting
design, build, and deploy scalable agentic AI solutions
Architect and orchestrate multi-agent ecosystems
Drive the Services Operations agentic AI strategy by establishing best practices, governance frameworks
rapidly prototype innovative agent-based capabilities

What you’ll bring

All qualifications

Core experience

  • 8-10 years building AI solutions at scale, progressing to Generative and Agentic AI
  • Hands-on with LLMs, agent frameworks, multi-agent systems and RAG
  • Experience with vector databases, knowledge graphs and AI orchestration platforms
  • Proven ability to lead AI strategy and drive adoption across cross-functional teams
  • Bachelor's degree in Computer Science, Engineering or related field, with 12+ years experience
Qualification wording
8-10 years of experience working on building AI solutions at scale
Hands-on expertise in LLMs, agent frameworks, multi-agent systems, RAG
vector databases, knowledge graphs, and AI orchestration platforms
Proven ability to lead AI strategy and innovation
12+ Years of experience with Bachelors Degree in Computer Science, Engineering or any related field
Education & alternatives
- Proven ability to lead AI strategy and innovation, establish technical standards, and drive the adoption of connected, enterprise-scale agentic systems across cross-functional teams. - 12+ Years of experience with Bachelors Degree in Computer Science, Engineering or any related field of 10+ Years of experience with Masters Degree in Computer Science, Engineering or any related field Desirable Requirements
Apply at Dell Technologies

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 14, 2026
Employer says posted
Nov 4, 2026

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How this job compares

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Day 1

Early. Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Dell Technologies is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Has Dell Technologies posted this job before?

Yes. We’ve followed one other Consultant, Data Science job there since November 2026. It came down after 0 days.

  1. TexasCame down after 0 days, first seen Nov 12
  2. This jobUp 2 days so far, first seen Nov 12

About Dell Technologies

People
About 97,000 in 2026, down 10% from the year before.Annual report (SEC Form 10-K)
Company
Listed as DELL.

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.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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

View original posting ↗

Consultant, Data Science 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. 

Join us to do the best work of your career and make a profound social impact as a Consultant, Data Science on our Digital Support Organization Team in Bengaluru. 

What you’ll achieve 

As a Data Science Consultant,You will design, build, and deploy scalable agentic AI solutions that address high-impact business challenges across the Services Operations organization. You will lead the evolution of a connected agent ecosystem by identifying opportunities to orchestrate and integrate multiple agents, maximizing their collective value, reusability, and business outcomes. As a thought leader, you will shape the strategic vision for agentic systems, driving best practices, innovation, and cross-functional adoption of AI-powered automation. 

You will: 

  • Lead the end-to-end design, development, and deployment of agentic AI solutions that transform Services Operations workflows, delivering intelligent automation and decision-making at enterprise scale. 
  • Partner closely with business, engineering, and operations stakeholders to identify high-value opportunities, rapidly prototype innovative agent-based capabilities, and translate emerging AI advancements into measurable business outcomes. 
  • Architect and orchestrate multi-agent ecosystems, defining patterns for agent collaboration, memory, reasoning, and workflow coordination to maximize effectiveness across interconnected use cases. 
  • Drive the Services Operations agentic AI strategy by establishing best practices, governance frameworks, reusable components, and scalable platforms that accelerate adoption and ensure long-term value realization. 
  • Serve as a thought leader and catalyst for agentic transformation, evaluating cutting-edge AI technologies, influencing organizational direction, and helping shape the next generation of autonomous and semi-autonomous operational systems. 

 

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements  

  • 8-10 years of experience working on building AI solutions at scale, with a demonstrated progression from traditional AI/ML to Generative AI and Agentic AI solutions in enterprise environments. 
  • Hands-on expertise in LLMs, agent frameworks, multi-agent systems, RAG, vector databases, knowledge graphs, and AI orchestration platforms, with experience deploying production-scale AI applications. 
  • Proven ability to lead AI strategy and innovation, establish technical standards, and drive the adoption of connected, enterprise-scale agentic systems across cross-functional teams. 
  • 12+ Years of experience with Bachelors Degree in Computer Science, Engineering or any related field of 10+ Years of experience with Masters Degree in Computer Science, Engineering or any related field 

 

Desirable Requirements  

  • Experience designing multi-agent architectures, including agent orchestration, tool integration, planning/reasoning workflows, and autonomous task execution in production environments. 
  • Demonstrated passion for emerging AI technologies, with contributions through thought leadership, innovation initiatives, patents, publications, or industry engagement. 
Source details

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Location & working pattern

Bengaluru, Karnataka, India

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