Senior AI Engineer

Job Title: Senior AI Engineer

Location: Cary, NC (Onsite)

Type: Fulltime Position

Job Description:

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 development 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, Google Cloud Platform), 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)