Senior AI Engineer

Finastra; Atlanta (GA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Finastra, a global leader in financial software, seeks a Senior AI Engineer to design, build, and deploy advanced AI solutions using LLMs. You will craft RAG and agent-based architectures, integrate production-grade agents, and optimize prompts for robust performance across Azure OpenAI and cloud platforms.

Join a collaborative, Agile environment with strong focus on observability, cost-reliability, and scalable ML pipelines.

Qualifications

• Strong Python for AI/ML development.
• Solid understanding of LLMs, capabilities and limits.
• Experience with prompt and context engineering for AI systems.
• Familiarity with AI agent patterns (RAG, text-to-SQL, multi-agent).

Responsibilities

• Develop key AI architecture patterns (RAG, text-to-SQL, multi-agent).
• Create end-to-end production-grade AI agents and integrate into applications.
• Apply prompt/context engineering to optimize LLM performance.
• Implement function calling and tool use patterns for agentic workflows.
• Build and maintain AI workflows/pipelines using LangChain/LangGraph or equivalent.
• Deploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar.
• Implement observability/monitoring for AI systems (costs, performance, reliability).
• Automate model deployment/orchestration via CI/CD pipelines.
• Evaluate, benchmark, and document models.

Skills

Python

LLM fundamentals

Prompt engineering

Agent patterns

Agile/Scrum

Problem solving

Learn quickly

Tools

LangChain / LangGraph

CrewAI

Vector databases

Git/GitHub

CI/CD pipelines

Job description

Who are we?At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.What will you contribute?We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI solutions powered by large language models (LLMs).Responsibilities & Deliverables:Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc)Create end-to-end production grade AI agents and integrate them into applicationsApply prompt engineering and context engineering techniques to optimize LLM performanceImplement function calling and tool use patterns for agentic workflowsBuild and maintain AI workflows and pipelines using LangChain/LangGraph or equivalentDeploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar cloud platformsImplement observability and monitoring for AI systems to track performance, costs, and reliabilityAutomate model deployment and orchestration using CI/CD pipelinesEvaluate, benchmark, and document modelsRequired Skills & Experience:Programming: Strong proficiency in Python for AI/ML developmentLLM Fundamentals: Understanding of large language models, their inner workings, capabilities, and limitationsAI Engineering Techniques: Knowledge of prompt engineering, context engineering, AI agent patterns (RAG, text-to-sql, etx)AI Frameworks: Hands-on experience with at least one framework: LangChain, LangGraph, CrewAI, or similarVector Databases: Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrievalSoftware Development: Understanding of Git workflows, version control with GitHub, and software development best practicesCollaboration: Experience working in Agile/Scrum teams with sprint-based developmentStrong problem-solving skills and ability to learn new technologies quicklyExposure to AI-assisted development tooling (e.g. GitHub CoPilot, Claude Code, Cursor, or equivalent)We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.Well‑being: Access confidential one‑to‑one support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive—inside and outside of work.Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*Sustainability: Paid time off for volunteering and donation‑matching opportunities to support causes that matter to you.Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute.Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.Specific benefits may vary by location.At Finastra, each individual is unique—bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.Be unique. Be exceptional. Help us make a difference at Finastra.Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.