Associate Value Engineer (Orbit- India)

NextGenEnergyJobs; Bengaluru; On-site; INR 800,000 - 1,100,000; Full time

Job summary

NextGenEnergyJobs in Bengaluru is seeking an Associate Value Engineer to push AI-enabled value with customers. You will map AI strategy to real problems, prototype solutions in hackathons, and drive ROI from autonomous AI deployments.

The role requires a STEM degree, strong English communication, and 1–2 years of business-technology experience. You will present business impact to executives and help scale AI value across industries.

Qualifications

• Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or related STEM field.
• Excellent communication skills in English.
• 1–2 years of internship or full-time work experience at the intersection of business and technology.
• Excellent academic performance.
• Understanding of generative AI techniques used for high-impact use cases.

Responsibilities

• AI Discovery & Solutioning: map customer AI strategy to problems and translate requirements into solutions.
• Hackathons & Prototyping: build rapid AI prototypes for customer challenges.
• Agentic Process Transformation: help customers realize ROI from autonomous AI deployments.
• Proof Projects: lead end-to-end Value proofs aligned with customer AI strategy.
• Specialize in domains/industries to scale knowledge across teams.
• Business Impact Presentations: quantify value for senior executives.

Skills

Python

Generative AI

AI strategy

Communication

Problem solving

Education

Engineering / Data Analytics / CS / Mathematics degree

Tools

LangChain

PyTorch

Pandas

scikit-learn

pydantic

Job description

As an Associate Value Engineer you are pushing the envelope in solving business-critical problems for our customers.

Responsibilities

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a “can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects showcasing the value of Celonis Process Intelligence tailored to customers and align our solutions with their AI strategy.
• Specialize in Domains or Industries: To scale knowledge across the organization specialize in domains (e.g. supply chain) and industries
• Business Impact Presentations: Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives to ensure successful value realization for customers.
• Ensure Successful Project Outcome: Applied AI Value Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Best Practice Modeling: Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.

Requirements

• Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field.
• Excellent communication skills in English
• Extensive internship experience or 1-2 years of full-time work experience. Ideally at the intersection of business and technology.
• Excellent academic performance
• Understanding of generative AI techniques like RAG, few shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
• A customer-centric mindset with a focus on delivering value.
• Confidence in presenting to diverse audiences.
• A proactive approach to problem-solving, with a willingness to learn from mistakes.
• Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
• Strong organizational skills with the ability to prioritize and execute on deadlines.
• Foundational business acumen and domain understanding, e.g. in areas such as Supply Chain.