Job title:  Sr. Associate Consultant / Consultant - AI Expert

Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.

JOB DESCRIPTION: ARTIFICIAL INTELLIGENCE EXPERT 

Who We Are:

ANDRITZ HYDRO Pvt. Ltd. is a fully owned subsidiary of ANDRITZ HYDRO GmbH in Austria and therefore part of the international technology group ANDRITZ.

With over 180 years of accumulated experience and more than 31,900 turbines installed, totalling about 471,000 megawatts output, the company provides the complete product range, including turbines, generators, and additional equipment of all types and sizes – “from water-to-wire” for small hydro applications up to large hydropower plants with outputs of more than 800 megawatts per turbine unit. ANDRITZ Hydro’s “from water-to-wire” concept ensures long term sustainable solutions for green field and rehabilitation projects.

ANDRITZ HYDRO Pvt. Ltd has a leading position in the Indian subcontinent and is providing hydro-mechanical and electro-mechanical equipment for hydropower plants all over South East Asia, Australia and New Zealand.

We are hiring for?

Group IT Delivery Center (India) team is part of ANDRITZ GROUP IT responsible for implementation, support, and maintenance of word class IT systems to ANDRITZ GROUP companies. Delivery Center (India) is working as service provider to the ANDRITZ GROUP IT Team.

What will you do?

• Develop and deliver AI solutions for the global ECM team, from prototype through to production.

Key responsibilities

• Build Copilot agents, declarative agents and custom copilots on Microsoft 365 (Copilot Studio, Microsoft 365 Agents SDK/Toolkit).
• Implement retrieval-augmented generation (RAG) over the group's document repositories: chunking and embedding strategies, vector indexing, grounding, citation quality and answer evaluation.
• Run requirements engineering for AI use cases: hold workshops with business stakeholders, assess which demands are actually suited to AI, define success metrics, design and implement the solution, hand it over and support it.
• Build document processing pipelines for classification, metadata extraction, summarisation and validation of technical documents, transmittals and drawings, replacing manual and rules-based steps.
• Integrate AI services into the existing M365 / SharePoint / collaboration landscape and third-party systems (e.g. Jira/Confluence, DMS, automation tooling) via APIs, connectors and Graph.
• Handle development, prompt and model evaluation, testing and release closure, including documentation, handover to the business, and cost/consumption transparency.
• Support and improve delivered AI solutions: monitor quality, drift and user feedback, and iterate.
• Apply responsible AI practice: data protection, permission-trimmed grounding, sensitivity labels, human-in-the-loop review and auditability.

Required Skills

• AI / LLM development: prompt engineering, RAG architectures, embeddings and vector search, function/tool calling, agent orchestration, evaluation of output quality.
• Microsoft AI stack: Azure OpenAI / Azure AI Services (Document Intelligence, AI Search), Microsoft 365 Copilot extensibility (Copilot Studio, declarative agents, Graph connectors).
• Programming: Python for AI and data work, plus Node.js/TypeScript and PowerShell.
• Web and application development: React.
• Microsoft 365 / SharePoint: Graph API, SharePoint Online (lists, libraries, templates, custom web parts), Power Automate / Power Platform.
• Data and integration: REST APIs, MCPs, JSON, working with unstructured and semi-structured content at scale.
• Requirements engineering: workshops with the business, demand specification, solution design, implementation, handover and support.
• Software design and architecture fundamentals.

Desirable skills

• Experience with agent frameworks and orchestration (e.g. LangChain, Semantic Kernel, Microsoft Agent Framework).
• MLOps / LLMOps: CI/CD for AI solutions, versioning of prompts and indexes, monitoring, telemetry and cost control.
• Java, for plugins and solutions on the group document management system (DOXIS / global DMS).
• Experience integrating M365 with external platforms (e.g. Atlassian Jira / wiki, automation tooling).
• Familiarity with responsible AI / EU AI Act requirements and enterprise data governance.
• Microsoft 365 administration experience (SharePoint Admin on-prem and online, Teams Admin, OneDrive Admin).
• Business English sufficient to run workshops and meetings with business customers and to write documentation and specifications.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.