• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works. • Improve speed, quality and consistency across workflows using AI where it creates real business value.

• Design and build AI-powered applications and agents on the Azure AI stack (Azure AI Foundry, Azure OpenAI) • Develop agent orchestration, RAG pipelines and tool/function calling in C#/.NET using Semantic Kernel or Microsoft Agent Framework • Integrate LLM capabilities into enterprise applications and services (APIs, event-driven architectures) • Build and maintain knowledge bases and retrieval layers with Azure AI Search, embeddings and vector stores • Implement evaluation of AI outputs (test datasets, quality metrics, prompt iteration) so solutions are measurable, not just plausible • Apply enterprise-grade security, identity (Microsoft Entra ID), networking and observability practices to AI workloads • Automate build, deployment and analysis workflows with Azure DevOps pipelines • Work embedded with client technical teams in an Agile / Scrum environment • Present progress, solutions and recommendations to international stakeholders in English • Document architectures, patterns and decisions, and propose continuous improvement

• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; • Documents, reviews and ensures that all quality and change control standards are met; • Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; • Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; • Program configuration/modification and setup activities on large projects using HD approved methodology; • Configures commercial off the shelf solutions to align with evolving business needs. • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively. • Actively seeks ways to grow and be challenged using both formal and informal development channels; • Learns through successful and failed experiment when tackling new problems; • Collaborates with other team members in agile processes; • Assists in creating new and better ways for the team to be successful; • Relates openly and comfortably with diverse groups of people; • Builds partnerships and works collaboratively with others to meet shared objectives.

Role Description We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines, RAG, and agent-based systems. This role is for subcontractors. Responsibilities - Lead and actively contribute to the development of AI products, pilots, and solutions, focusing on clean, maintainable code using Python, React, and AWS tools. - Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech. - Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena. - Optimize performance of AI products and drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains. - Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs. - Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap. - Own end-to-end delivery of Gen AI solutions, managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban). - Monitor operational metrics and incident data to drive continuous improvement and reliability. - Ensure adherence to governance and DevSecOps protocols. Qualifications - 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives. - Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques. - Agentic AI, MCP, and Graph/RAG architectures. - Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock). - Web application development using Next.js, React, TypeScript/JavaScript. - AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation). - Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments. - ETL orchestration using Apache Airflow/DAGs. - Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization. - Python programming (NumPy, Pandas, Matplotlib, Boto3). - Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium). - Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align). - Knowledge of LLM fine-tuning techniques. - Experience in BI tools like QuickSight, Tableau. - Knowledge of financial markets and enterprise data systems. Languages - English: C1 Advanced Seniority - Senior