Engineer - AI (Mining Automation)
WSP in India
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Job summary
WSP India is seeking an Engineer AI (Mining Automation) to develop AI-enabled workflows that enhance mining engineering decision-making and asset management. You will deploy AI/ML solutions across geological, geotechnical, and operational data, leveraging Azure AI services and document intelligence capabilities.
You will collaborate with mining specialists and engineers to identify automation opportunities, build scalable patterns, and ensure traceability of outputs across global mining projects.
Qualifications
- Bachelor's or Master's degree in Mining Engineering, Computer Science, Data Science, AI, Software Engineering, Geotechnical Engineering.
- Experience developing AI/ML, automation, data analytics or document intelligence solutions in mining or asset-intensive environments.
- Proficiency in Python and ML libraries.
- Hands-on experience with LLMs, prompt engineering, retrieval-augmented generation, or generative AI apps.
- Knowledge of ETL/ELT pipelines, APIs, data processing, and system integration.
- Familiarity with Azure-based AI and data services.
Responsibilities
- Design, develop, and implement AI-enabled automation solutions for mining engineering and operational workflows.
- Work with mining specialists to identify high-value automation opportunities and convert requirements into digital solutions.
- Develop intelligent workflows that integrate geological, geotechnical, mine planning, operational, and asset data.
- Support the use of generative AI, ML, computer vision, and agent-based approaches to improve productivity and decision support.
- Create reusable components and scalable solution patterns for global mining projects.
- Develop automated pipelines to extract information from mining reports, PDFs, drawings, and inspection records.
- Apply OCR, layout understanding, multimodal models, and LLM-based techniques to identify entities, relationships, measurements, and evidence.
- Maintain traceability between outputs and source documents.
Skills
Education
Tools
Job description
WSP is seeking an Engineer AI (Mining Automation) to join the GCC Specialist Mining Services team, supporting the delivery of digital and automation solutions for global mining projects. Reporting to the Mining Automation Team Leader, the successful candidate will develop and implement AI-enabled workflows that improve the way mining, asset, operational, geotechnical, and technical information is processed, connected, analysed, and used for engineering decision-making.
- Design, develop, and implement AI-enabled automation solutions for mining engineering and operational workflows.
- Work with mining specialists to identify high-value automation opportunities and convert technical requirements into practical digital solutions.
- Develop intelligent workflows that integrate geological, geotechnical, mine planning, operational, asset,
- Support the use of generative AI, machine learning, computer vision, and agent-based approaches to improve engineering productivity and decision support.
- Create reusable components and scalable solution patterns that can be applied across global mining projects.
- Develop automated pipelines to extract information from mining reports, PDFs, scanned documents, drawings, tables, figures, inspection records, and monitoring outputs.
- Apply OCR, layout understanding, multimodal models, and LLM-based techniques to identify entities, attributes, relationships, measurements, risks, and supporting evidence.
- Implement validation, normalization, exception-handling, and quality-control logic to improve the accuracy and consistency of extracted information.
- Maintain traceability between extracted outputs and the relevant source documents, pages, figures, tables, or evidence.
- Develop, validate, and support deployment of machine learning solutions for predictive analytics, anomaly detection, classification, risk assessment, optimization, and asset insights.
- Apply data science and statistical methods to identify patterns, trends, and actionable insights from engineering and operational data.
- Evaluate model performance, limitations, and suitability for mining use cases, working with domain experts to confirm engineering relevance.
- Contribute to proof-of-concept development and the transition of successful prototypes into maintainable production solutions.
- Support the design of structured knowledge models that connect mining assets, technical information, operational data, risks, controls, and engineering evidence.
- Contribute to knowledge graph and semantic data solutions using RDF, OWL, SPARQL, or equivalent technologies where appropriate.
- Develop graph-native and hybrid retrieval workflows, including GraphRAG approaches that combine structured graph context with AI models.
- Enable natural-language access to connected mining knowledge for engineering assistants, analytics tools, and decision-support applications.
- Support provenance, versioning, evidence linking, and auditability of AI-generated or graph-derived outputs.
- Develop and integrate solutions using Azure AI services, Azure OpenAI, Azure Machine Learning, Azure AI Document Intelligence, and related cloud capabilities, where applicable.
- Build and maintain data pipelines, APIs, connectors, and services that integrate AI workflows with engineering platforms and enterprise data environments.
- Contribute to deployment, monitoring, documentation, testing, and continuous improvement of production AI applications.
- Support MLOps, prompt and model evaluation, access control, data security, and responsible AI practices.
- Work as part of the GCC Specialist Mining Services team to support multidisciplinary mining assignments delivered across WSP's global business.
- Collaborate with the Mining Automation Team Leader, mining engineers, geotechnical specialists, tailings practitioners, data scientists, software developers, and digital teams.
- Engage with project and domain teams to understand technical context, refine use cases, review outputs, and align solutions with project requirements.
- Communicate technical concepts clearly to both technical and non-technical stakeholders across different regions and time zones.
- Prepare solution documentation, specifications, test records, user guidance, and knowledge-transfer materials.
- Contribute to internal standards, reusable assets, lessons learned, innovation initiatives, and capability development within the team.
- Bachelor's or Master's degree in Mining Engineering, Computer Science, Data Science, Artificial Intelligence, Software Engineering, Geotechnical Engineering, or a related discipline.
- Experience developing AI, machine learning, automation, data analytics, or document intelligence solutions in mining, engineering, infrastructure, industrial, or asset-intensive environments.
- Proficiency in Python and experience with relevant AI, data science, or machine learning libraries and frameworks.
- Hands-on experience with large language models, prompt engineering, retrieval-augmented generation, or generative AI application development.
- Knowledge of data engineering concepts, ETL or ELT pipelines, APIs, structured and unstructured data processing, and system integration.
- Experience with OCR, document processing, computer vision, layout analysis, or multimodal AI techniques.
- Familiarity with Microsoft Azure-based AI and data services.
- Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
- Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally, in 550 offices across 40 countries, we engineer projects that will help societies grow for lifetimes to come.
At “WSP” we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: Our People, Our Clients, Our Operational Excellence and Our Expertise.
www.wsp.com
- Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
- A collaborative team that thrives on challenges and unconventional thinking.
- A network of experts channeling our curiosity into creating solutions for complex issues.
Inspired by diversity, driven by inclusion, we work with passion and purpose.
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
- Maximize collaboration.
- Maintain product quality and cultural integrity.
- Balance community, collaboration, opportunity, productivity, and efficiency.
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our “Making Health and Safety Personal” initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
Imagine a better future for you and a better future for us all.
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
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