Senior AI Infrastructure Platform Engineer, Assistant Vice President
$90k - $157.5kState Street
Who we are looking for: This is an Infrastructure Lead/Mid-level Architect position in Automation/Artificial Intelligence team. Our primary objective is to drive A/AI efforts across STT’s processes and functions; partner with business and technology teams to design and implement transformational A/AI across people, process and technology. As a member of the Global AI Team, the incumbent will partner with stakeholders across different business teams & regions, to identify opportunities, develop cutting edge technology solutions & work with business units and various other stakeholders to improve the efficiency & effectiveness of their processes, using levers Artificial Intelligence.
What you will be responsible for:
As a Senior AI Infrastructure Platform Engineer, 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
These skills will help you succeed in this role:
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.
Strong analytical skills, critical thinking, problem solving, and decision making.
Very strong organizational skills, ability to meet deadlines and proven experience in working with large cross functional teams will be a plus
Education & Qualifications:
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
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
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.
Strong analytical skills, critical thinking, problem solving, and decision making.
Very strong organizational skills, ability to meet deadlines and proven experience in working with large cross functional teams will be a plus
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
Salary Range:
$90,000 - $157,500 AnnualThe range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: 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); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit .
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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