AI Engineer - T&I

Job Title: AI Engineer - T&I Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP is seeking an AI Engineer to develop and support production-oriented Generative AI solutions for the Middle East AI portfolio from the Bengaluru GCC. The role will work across AI products, agents, automation workflows and enterprise integrations, with emphasis on secure engineering, measurable quality and responsible AI. * Develop GenAI applications, agents and automation workflows using approved designs and engineering standards. * Implement retrieval-augmented generation, function calling, structured outputs and prompt patterns to improve solution reliability and usability. * Integrate AI components with enterprise systems, APIs, approved vector search services and governed data sources. * Build and maintain ingestion, chunking, embedding, indexing and retrieval pipelines for structured and unstructured content. * Create evaluation datasets and execute repeatable testing for accuracy, grounding, safety, latency and solution quality. * Apply responsible AI controls including validation, guardrails, content filtering, traceability and human oversight. * Develop clean, reusable and well-documented Python components and participate in code reviews. * Support deployment, monitoring, incident resolution and continuous optimisation of AI solutions. WSP-Aligned Technology Stack The role will use and support the approved enterprise stack below. Equivalent technologies may be considered only where formally approved through WSP architecture, security and governance processes. Azure DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability services * Deliver maintainable AI components that progress from prototype through controlled production deployment. * Improve solution quality through structured evaluation, monitoring and iterative optimisation. * Contribute to reusable AI capabilities and patterns across the Middle East portfolio. * Collaborate effectively with Middle East stakeholders, GCC delivery teams, product owners, engineering specialists and enterprise technology functions. * Work within WSP standards for architecture, cybersecurity, data protection, responsible AI, quality assurance and delivery governance. * Communicate clearly, document decisions and support transparent delivery reporting across distributed teams. 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. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. 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. Work Location: Karnataka, India Availability: Full time

* Bachelor’s degree in Computer Science, Engineering, Data Science or a related discipline. * 0–3 years of relevant software, data or AI engineering experience, including internships or strong project experience. * Working knowledge of Python, REST APIs, SQL and software engineering fundamentals. * Practical understanding of LLMs, embeddings, RAG, prompt engineering and evaluation methods. * Exposure to Azure AI services, Git-based development, CI/CD and cloud security principles. * Strong analytical, troubleshooting, documentation and stakeholder communication skills. Preferred Qualifications 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. Key Skills: Machine Learning, Python Salary: Not disclosed