Engineer - AI (Mining Automation)

Responsibilities

AI and Mining Automation Development

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,

environmental, and risk information.

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.

Data Extraction and Document Intelligence

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.

AI Models and Advanced Analytics

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.

Knowledge Management and Graph-Based Intelligence

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.

Cloud, Data, and Platform Integration

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.

Global Project Delivery and Collaboration

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.

Education

Bachelor's or Master's degree in Mining Engineering, Computer Science, Data Science, Artificial Intelligence,

Software Engineering, Geotechnical Engineering, or a related discipline.

Technical Experience And Skills

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.

BGV:

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”.

About Us

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

We are

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.

Working with Us

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.

Our Hybrid Working Module

With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.

Maximize collaboration.

Maintain product quality and cultural integrity.

Balance community, collaboration, opportunity, productivity, and efficiency.

Health, Safety and Wellbeing

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.

Inclusivity and Diversity

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.

With us, you can.

Apply today.

NOTICE TO THIRD PARTY AGENCIES:

WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.