AI Platform Delivery Director
SoTalent · MA
FULL-TIME
Posted Sep 7, 2026
Job Description
AI Platform Delivery Director
Industry: Financial Services & Insurance / Technology
Location: Springfield, Massachusetts, United States
Workplace: On-site
Employment Type: Full-time
Role Overview
A leading financial services organisation is seeking an AI Platform Delivery Director to lead and grow an engineering team responsible for building the infrastructure that enables enterprise-wide AI development and deployment.
The role combines people leadership, technical delivery and strategic execution, partnering with AI engineering, product and cloud teams to translate platform priorities into scalable solutions while developing a high-performing engineering culture.
Key Responsibilities
- Lead the AI Platform Engineering team, including hiring, onboarding, performance management, coaching and career development.
- Own execution against the AI platform roadmap, translating strategic priorities into clear milestones, sprints and delivery plans.
- Partner with technical and business stakeholders to manage priorities, dependencies, risks and resources.
- Participate in architecture discussions and design reviews across AI platform infrastructure, agent runtimes, tool registries, memory and context systems, and observability pipelines.
- Establish and maintain high standards for code quality, reliability, operational maturity and on-call practices.
- Communicate team progress, risks, technical trade-offs and resource requirements to senior leadership.
- Remove delivery blockers and foster a high-trust, collaborative engineering culture.
- Support technical development through design reviews, documentation standards, peer learning and continuous improvement.
- Drive complex, multi-month platform initiatives from initial design through production deployment.
- Help shape the organisation's approach to AI infrastructure, developer experience and platform engineering.
Requirements
- 3+ years of experience managing software, platform or infrastructure engineering teams, with 5+ years of overall software engineering experience.
- Demonstrated experience hiring, developing and retaining high-performing engineering teams.
- Strong understanding of cloud-native architecture, including Kubernetes, managed cloud services, networking and multi-tenancy across AWS, GCP or Azure.
- Experience delivering complex platform initiatives from concept through production.
- Exposure to AI/ML infrastructure, including model serving, inference pipelines, LLM integrations or agentic systems.
- Experience establishing engineering standards covering code quality, reliability, operational excellence and on-call practices.
- Strong communication skills with the ability to translate technical concepts into business priorities.
- Bachelor's degree in Computer Science, Engineering or a related discipline.
- Ability to work in the United States without current or future sponsorship.
Preferred Qualifications
- Experience building an internal developer platform (IDP) from the ground up.
- Product-focused approach to improving developer experience.
- Familiarity with AI safety, model evaluation and AI governance frameworks.
- Strong combination of technical credibility and people leadership.
- Experience contributing to open-source platform or ML infrastructure projects.
- Comfortable operating in ambiguous environments and creating structure around complex, undefined problems.
- Advanced degree preferred.
Key Skills
AI Platform Engineering Engineering Leadership Cloud Architecture Kubernetes AWS Azure GCP AI/ML Infrastructure LLMs Agentic AI Platform Engineering Developer Experience Technical Strategy Roadmap Delivery People Management Architecture Engineering Operations AI Governance Continuous Improvement
Industry: Financial Services & Insurance / Technology
Location: Springfield, Massachusetts, United States
Workplace: On-site
Employment Type: Full-time
Role Overview
A leading financial services organisation is seeking an AI Platform Delivery Director to lead and grow an engineering team responsible for building the infrastructure that enables enterprise-wide AI development and deployment.
The role combines people leadership, technical delivery and strategic execution, partnering with AI engineering, product and cloud teams to translate platform priorities into scalable solutions while developing a high-performing engineering culture.
Key Responsibilities
- Lead the AI Platform Engineering team, including hiring, onboarding, performance management, coaching and career development.
- Own execution against the AI platform roadmap, translating strategic priorities into clear milestones, sprints and delivery plans.
- Partner with technical and business stakeholders to manage priorities, dependencies, risks and resources.
- Participate in architecture discussions and design reviews across AI platform infrastructure, agent runtimes, tool registries, memory and context systems, and observability pipelines.
- Establish and maintain high standards for code quality, reliability, operational maturity and on-call practices.
- Communicate team progress, risks, technical trade-offs and resource requirements to senior leadership.
- Remove delivery blockers and foster a high-trust, collaborative engineering culture.
- Support technical development through design reviews, documentation standards, peer learning and continuous improvement.
- Drive complex, multi-month platform initiatives from initial design through production deployment.
- Help shape the organisation's approach to AI infrastructure, developer experience and platform engineering.
Requirements
- 3+ years of experience managing software, platform or infrastructure engineering teams, with 5+ years of overall software engineering experience.
- Demonstrated experience hiring, developing and retaining high-performing engineering teams.
- Strong understanding of cloud-native architecture, including Kubernetes, managed cloud services, networking and multi-tenancy across AWS, GCP or Azure.
- Experience delivering complex platform initiatives from concept through production.
- Exposure to AI/ML infrastructure, including model serving, inference pipelines, LLM integrations or agentic systems.
- Experience establishing engineering standards covering code quality, reliability, operational excellence and on-call practices.
- Strong communication skills with the ability to translate technical concepts into business priorities.
- Bachelor's degree in Computer Science, Engineering or a related discipline.
- Ability to work in the United States without current or future sponsorship.
Preferred Qualifications
- Experience building an internal developer platform (IDP) from the ground up.
- Product-focused approach to improving developer experience.
- Familiarity with AI safety, model evaluation and AI governance frameworks.
- Strong combination of technical credibility and people leadership.
- Experience contributing to open-source platform or ML infrastructure projects.
- Comfortable operating in ambiguous environments and creating structure around complex, undefined problems.
- Advanced degree preferred.
Key Skills
AI Platform Engineering Engineering Leadership Cloud Architecture Kubernetes AWS Azure GCP AI/ML Infrastructure LLMs Agentic AI Platform Engineering Developer Experience Technical Strategy Roadmap Delivery People Management Architecture Engineering Operations AI Governance Continuous Improvement
Additional Details
- City
- MA
- Country
- US
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