Senior AI Infrastructure Platform Engineer

Role Overview

• As an Officer you will contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise.
• This position requires a demonstrated excellence in system design and architecture, as well as individual contributions in development.
• You will work closely across business and IT, strong communication skills are necessary.
• Lead Development projects independently and work with Business, IT and Infrastructure teams.
• Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
• Drive rollout & deployment of “self-service” technology platforms.
• Create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML.
• Work with project management facilitating development, managing sprints.
• Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
• Create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc).
• Develop an in-depth understanding of business processes, functions, teams, incumbent technology.
• Identify what’s standard vs. bespoke, and what drives value for clients.
• Design an end-state that relies on the latest automation offerings.
• Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control.

Requirements

• Bachelors Degree in Computer Science or Engineering
• 5+ years of experience in Technology development or consulting on large-scale implementations in consulting or financial services industry
• Certification preferred in Cloud, AI & ML
• Hands on expertise on Python, FastAPI, Unix, Docker, Postgres, Lang Chain / Lang Graph, Kubernetes, Databricks, API Management, AWS and Azure
• Design and deploy cloud-native applications using Azure Foundry, Open AI, Document Intelligence, Azure Functions, Azure Logic Apps, AWS Bedrock, AWS Sagemaker, AWS agent core, AWS Step Functions, AWS Lambda and EKS
• Experience in developing Gen AI and Agentic AI solutions, Fine tuning models, model selection, model evaluations and inferencing, frameworks and architectures
• Agile development methodology, CI/CD Development environments and tools (GIT, Maven, Harnes, etc).
• API Development for interoperable Cloud solutions including a deep focus on building the best of breed solutions which are used at scale across enterprise.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Kubernetes
• Maven
• Postgres
• Python
• Unix

Benefits

• our retirement savings plan (401K) with company match
• insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
• paid-time off including vacation, sick leave, short term disability, and family care responsibilities
• access to our Employee Assistance Program
• incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
• eligibility for certain tax advantaged savings plans