Job description

Senior AI Engineer Cary, NC Fulltime Role with TCS Tech Stack Development & Delivery Methods: • Agile (Scaled Agile Framework) DevOps and CI/CD: • Containers (Azure Kubernetes) • CI/CD (Azure DevOps, Git, SonarQube) • Scheduling Tools (Azure Scheduler) Development Frameworks and Languages: • AI: Machine learning, deep learning, neural networks, NLP, LLM’s • App: Microservices (Java, Spring boot) • UI & Web (ReactJS, HTML, Javascript) Data Management: • Database (SQL Server, Cosmos DB) • APIs (Kong, APIC, APIM) Development Tools & Platforms: • IDE (GitHub Copilot, VSCODE, IntelliJ) • Cloud Platform (Microsoft Azure) Security and Monitoring: • Secure Coding (Veracode) • Authentication/Authorization (CA SiteMinder, MS Entra, PingOne) • Log & Monitoring (Azure AppInsights, Elastic) Skill & Job Description: The AI Engineer will be responsible for design development of innovative AI solutions and contributing to the strategic vision of our organization. Key Responsibilities: • Define and implement GenAI building standards to ensure consistency, quality, and scalability across projects • Stay abreast of advancements in GenAI and agentic systems, translating emerging trends into actionable opportunities • Hands-on engineer in technical design and development of AI applications using existing and/or emerging technology. • Work closely with product managers, data scientists and other stakeholders to translate business requirements into scalable and efficient AI solutions. • Collaborate with cross-functional teams to execute the AI technology roadmap, aligning with business objectives and industry trends. • Stay abreast of the latest advancements in AI technologies, guiding the team in adopting best practices and cutting-edge methodologies. • Responsible for development of AI specific software/platform components. • Investigate and resolve production management incidents, problems, and service requests. • Implementation of AI technology best practices, architecture and technology stack including adoption of cloud, Data, and other relevant emerging technology that is fit-for-purpose. • Ways of Working – Adoption of the Agile ways of working in the software delivery lifecycle and continuous learning of new methods and technology Experience: • 5+ years in develo pment using multiple technology stack capabilities (Front/Back End, API, Database Mgmt., Hosting technologies etc. to drive digital transformation in financial services or technology domain • Proven expertise in developing and delivering GenAI applications, including agentic systems • Strong understanding of modern AI/ML frameworks, cloud platforms (e.g., AWS, Azure, GCP), and data engineering practices. • Experience with LLMs, transformers, and understanding of agentic systems, current limitations and opportunities. • Experience in implementing Enterprise AI solutions leveraging AI\ML models. • Expertise in machine learning, deep learning, natural language processing, and other AI-related technologies. • Proficiency in programming languages such as Python and proficiency with AI frameworks (e.g., TensorFlow, PyTorch) • Strong grounding on data engineering and design to support AI workloads. • Hands on experience on Azure AI offerings will be an added advantage. • Strong analytical and problem-solving skills with a focus on delivering practical, scalable solutions. • Hands-on experience in developing and implementing applications using modern technology stack and patterns including cloud native patterns, public cloud (e.g. Microsoft Azure), AI/Big Data, API and web apps • Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working (including shift-left) Job Type: Full-time Pay: $112,792.00 - $130,000.00 per year Benefits: • 401(k) • Dental insurance • Health insurance • Vision insurance Compensation Package: • Yearly pay Ability to Commute: • Cary, NC 27511 (Required) Ability to Relocate: • Cary, NC 27511: Relocate before starting work (Required) Work Location: In person

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