Senior AI Engineer 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) Salary Range- $100,000-$130,000 a year #LI-CO1 #LI-SN1