About Cognite

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

Learn more about Cognite here

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Data Contextualization Masterclass 2023

Our values

Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.

Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.

Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.

The Role

As an AI Solutions Engineer, you will bridge the gap between industrial challenges and AI capabilities. You will lead the rapid prototyping of GenAI-powered solutions, design user-facing interfaces, and orchestrate intelligent agent workflows in real customer contexts. You’ll work closely with customer teams, internal stakeholders, and product/engineering to craft lighthouse solutions that demonstrate what’s possible with ATLAS AI.

This role requires hands-on technical depth, creativity in solution design, and the ability to operate fluidly across domains, tools, and stakeholders.

Responsibilities

End-to-End Prototyping Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges.

Agent Workflow Design Design and implement multi-agent workflows that combine LLMs, tool use, and reasoning over industrial data.

Customer-Facing Execution Collaborate directly with technical teams at customer sites to refine use cases and integrate solutions in real environments.

Interactive UI Development Build lightweight but powerful UIs that showcase value to executives and operators alike.

System Integration Orchestrate integration between GenAI components, CDF data models, and existing customer systems using scalable software practices.

Evangelism & Enablement Translate technical solutions into compelling narratives that inspire stakeholders across both internal and external audiences.

What We’re Looking For - Must-Have Skills

3+ years of experience in software engineering, AI solution architecture, or similar roles.

Proven hands-on experience with GenAI systems (LLMs, embeddings, prompt chaining, etc.).

Experience building LLM-driven or agent-based applications (e.g., LangChain).

Solid full-stack development skills, including:

Frontend: React (or similar frameworks) for building interactive UIs.

Backend: Python (or similar) for data orchestration and API integration.

Ability to work across the stack and own the delivery of functional, user-facing solutions.

Strong communication and storytelling skills for both technical and executive audiences.

Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.

A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.

Bonus Skills

UI/UX sensibilities for building demo interfaces and apps quickly.

Understanding of industrial data types (e.g., time series, industrial knowledge graphs).

Experience with Cognite Data Fusion

Familiarity with vector databases and RAG pipelines

Cloud-native development experience (AWS, Azure, etc.)

Exposure to industrial use cases or previous work in industrial analytics or engineering domains.

Join the global Cognite community! 🌐

- Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝

- Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru)

- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more

- Flat structure with direct access to decision-makers, with minimal amount of bureaucracy

- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries

- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.

- Hybrid work environment globally

Why choose Cognite? 🏆 🚀

Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇

Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

AI Solutions Engineer

Job Description

Responsibilities

What We’re Looking For - Must-Have Skills

Bonus Skills

Cognite

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