AI Engineer

The role of AI Engineer at Wipro Technologies offers a compelling opportunity to drive innovation in AI and Large Language Model (LLM) engineering with a focus on advanced architectures and service integration. You will be instrumental in designing and building intelligent, scalable AI solutions that leverage Retrieval-Augmented Generation (RAG), agentic service models, tool and function calling, while implementing robust safe-by-design guardrails to ensure ethical AI deployment. Your expertise will extend to translating overarching architectural strategies into detailed, executable designs that seamlessly integrate with existing AI frameworks and infrastructure.

Leveraging strong software engineering skills, particularly in Python and modern API development frameworks, you'll produce clean, secure, and production-grade code that upholds quality and scalability standards. Additionally, your role involves data engineering responsibilities, encompassing the construction of sophisticated data pipelines, indexing workflows, and validation frameworks to enhance data quality and reliability for both structured and unstructured data formats.

You will architect and design APIs, event-driven data flows, and data contracts with an emphasis on latest technologies such as vector search and graph databases. Appreciation and understanding of governance, responsible AI principles, data privacy, and compliance frameworks are integral to this role, ensuring all solutions meet enterprise-level readiness and risk management standards.

Preferred experience includes GraphDB technologies such as GraphQL paired with Neo4j, and MCP tooling, enabling you to craft graph interfaces that facilitate safe and efficient integration with AI ecosystems. Familiarity with network inventory concepts, including OSS inventory, topology, and managing complex legacy network datasets, will further enhance your ability to deliver tailored solutions in the communications domain.

This role is ideal for professionals passionate about pioneering AI application development within a supportive and forward-thinking organization that values innovation, technical excellence, and ethical AI practices.

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Key Responsibilities - Architectural Leadership & Solution Development

• Develop and maintain enterprise-wide architectural applications to support new deals and major changes, ensuring scalability, reliability, and ease of management across system portfolios.
• Manage and guide development teams on application assets and components, encouraging agile delivery methodologies to enhance solution agility and accelerate time to market.
• Architect and maintain frameworks and artefacts that support the systematic design and evolution of the application portfolio with a focus on service-oriented architecture (SOA) and microservices paradigms.
• Collaborate proactively with stakeholders to establish clear architectural guidelines that promote reuse, consistency, and alignment with business objectives.
• Ensure that all architectural designs encompass security best practices and provide comprehensive documentation to support enterprise governance and compliance requirements.

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Client Engagement, Solution Design & Strategic Input

• Lead the design and delivery of comprehensive solutions for client Request for Proposals (RFPs), ensuring architecture aligns with client needs and business goals.
• Analyze technological landscapes, client environments, and enterprise-specific requirements to create collaborative design frameworks that optimize solution effectiveness.
• Develop complete RFP responses tailored to client standards and technology ecosystems, showcasing technical leadership throughout the solution lifecycle.
• Identify current system states, recommend improvements, and define future-state architectures that balance technical feasibility and business value.
• Advocate architectural best practices by communicating recommendations, reusable patterns, and investment roadmaps to technical and business stakeholders.
• Evaluate and recommend integration strategies within the broader technology ecosystem, ensuring seamless interoperability.
• Stay abreast of industry trends and emerging technologies to inform strategic planning and future-proof IT initiatives.
• Conduct account mining activities to discover new business opportunities within existing client portfolios.
• Work collaboratively across teams to assess risks, address constraints, and ensure solution alignment with enterprise architecture principles.

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Application Design, Development Standards & Cloud Transformation

• Design standardized applications and intellectual property including services, reusable patterns, and organizational approaches that foster efficiency and innovation.
• Establish and adhere to best practices, design patterns, and quality criteria ensuring that system components deliver measurable technical and business value.
• Facilitate the development of standardized tools and uniform design methodologies aimed at minimizing maintenance costs and enhancing system reliability.
• Perform thorough design and code reviews, emphasizing security and compliance with industry standards.
• Collaborate with cross-functional teams including system analysts, developers, and data managers to deliver high-quality application software.
• Integrate new and legacy systems effectively to maintain robust data structures and contribute to overall development value.
• Leverage emerging technologies such as IoT, blockchain, machine learning, automation, and bots within a mesh app and service architecture framework.
• Drive cloud transformation initiatives by understanding non-functional requirements, producing key artefacts like deployment architectures and interface catalogs, and supporting build and testing phases.
• Support modernization efforts by defining target integration architectures, aligning project pipelines with strategic goals, and providing technical leadership for delivery teams through proof of concepts and guidance.
• Maintain ongoing awareness of market and technological advancements to continually enhance solution offerings.

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Core Competencies & Skills

• Client Centricity: Placing client needs at the forefront and delivering tailored AI-driven solutions that meet or exceed expectations.
• Passion for Results: Commitment to achieving high-quality outcomes with measurable impact, driving continuous improvement.
• Execution Excellence: Delivering work with rigor, focus, and adherence to timelines and quality standards.
• Collaborative Working: Fostering teamwork across diverse stakeholder groups to achieve unified objectives.
• Learning Agility: Embracing continuous learning to adapt to rapidly evolving technologies and industry trends.
• Problem Solving & Decision Making: Applying analytical thinking to resolve complex technical and business challenges effectively.
• Effective Communication: Articulating ideas clearly and inclusively, facilitating understanding and consensus.
• Being Respectful & Building Trust: Cultivating respectful interactions and establishing trusted relationships across teams and clients.
• Demonstrating Stewardship & Being Responsive: Taking ownership and acting promptly to fulfill responsibilities and client requirements.

Mandatory Skills: Telecom Network Management System (NMS) Data Modeling and South Bound Interface expertise are essential to successfully navigate the technical landscape of this role.

Additional Skills: Experience in Telecom Operations Support Systems (OSS), Business Support Systems (BSS), and Application Development & Maintenance (ADM) will be advantageous.

With 8-10 years of professional experience in relevant fields, this role at Wipro Engineering within the Connectivity practice offers the chance to be at the forefront of digital transformation initiatives. Join us to reinvent your career through innovation, collaboration, and purposeful impact as part of a modern technology leader.