# SoTalent — AI Platform Engineering

- Generated: 2026-08-31 09:36:53 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4459228508/
- User-provided LinkedIn posting: https://www.linkedin.com/jobs/view/4459228508/
- Posting time: approximately 2026-08-31 03:36 PM EDT (estimated from LinkedIn's '6 hours ago')
- Applicants: Be among the first 25 applicants
- Work model/location: Hybrid in Springfield, Massachusetts
- Employment type: Full-time
- Compensation: Not disclosed; the JD identifies the position as an Engineering Manager / Director
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: PASS — 92%

## Direct-match strengths

Direct AI-platform, AWS, cloud-native, distributed-systems, Kubernetes, container, reliability, governance, and player-coach engineering leadership evidence, including teams of 7, 11, and 24.

## Hard or material gaps

Compensation is undisclosed. Inference-system specialization is less explicit than broader production AI-platform and MLOps experience; the JD accepts platform or cloud engineering backgrounds.

## Evidence map

1. People leadership and talent development — direct hiring, mentoring, performance, and Agile team accountability across multiple engineering organizations.
2. AI-platform roadmap and delivery — direct AssistX platform strategy, architecture, prioritization, and production execution.
3. Cloud-native and distributed architecture — direct AWS, Kubernetes, Docker, APIs, data platforms, event-driven systems, and multi-tenant SaaS evidence.
4. Engineering excellence — direct CI/CD, testing, documentation, security, observability, reliability, and operational ownership evidence.
5. AI/ML infrastructure — direct SageMaker, TensorFlow, MLOps, model governance, agents, RAG, evaluation, and production deployment evidence.
6. Stakeholder leadership — direct executive communication, product partnership, and advisory work with 200+ enterprises.
7. Internal developer platforms — adjacent through reusable shared AI and data platforms rather than a separately branded developer-platform organization.

## Full normalized job description

AI Platform Engineering
📍 Location: Springfield, MA, United States
🏢 Industry: Financial Services
💼 Work Setting: Hybrid
Are you passionate about building the platforms that power AI innovation, leading high-performing engineering teams, and driving the development of scalable cloud-native AI infrastructure?
Join a forward-thinking technology organization where you'll lead a team responsible for delivering the foundational platforms, tools, and infrastructure that enable enterprise AI development. As an Engineering Manager / Director – AI Platform Engineering, you will combine people leadership, technical strategy, and execution excellence to build scalable AI platforms while fostering a culture of innovation, collaboration, and continuous improvement.
Key Responsibilities
Lead & Develop High-Performing Engineering Teams
Lead, mentor, and grow a team of platform and infrastructure engineers responsible for AI platform capabilities.
Oversee hiring, onboarding, performance management, career development, and team engagement initiatives.
Foster a culture of collaboration, accountability, technical excellence, and continuous learning.
Remove obstacles and empower teams to perform at their highest level.
Drive AI Platform Strategy & Execution
Partner with technical leaders, product teams, and stakeholders to execute against the AI platform roadmap.
Translate strategic objectives into actionable plans, milestones, and delivery schedules.
Ensure successful execution of platform initiatives while balancing technical priorities, business needs, and operational requirements.
Manage dependencies, risks, and resource allocation across multiple initiatives.
Provide Technical Leadership
Contribute to architecture reviews, technical planning sessions, and platform design discussions.
Guide the development of scalable infrastructure supporting AI applications, machine learning workloads, and intelligent automation solutions.
Influence decisions related to platform architecture, cloud-native technologies, developer tooling, and operational frameworks.
Maintain sufficient technical depth to provide direction and support engineering teams effectively.
Champion Engineering Excellence
Establish and maintain standards for software quality, platform reliability, security, scalability, and operational maturity.
Promote best practices in system design, code quality, documentation, observability, monitoring, and incident management.
Ensure teams adopt effective engineering processes that support long-term platform sustainability.
Drive continuous improvement across development and operational practices.
Manage Stakeholder Relationships
Communicate project progress, delivery status, risks, and resource needs to leadership and business stakeholders.
Translate technical concepts and trade-offs into clear business-focused recommendations.
Foster strong partnerships across engineering, product, AI, cloud, security, and business teams.
Align stakeholders around strategic priorities and delivery outcomes.
Build Scalable AI & Cloud Platforms
Support the development of cloud-native platforms that enable AI, machine learning, and advanced analytics capabilities.
Guide platform initiatives focused on scalability, multi-tenancy, reliability, and developer enablement.
Ensure infrastructure supports secure, efficient deployment and operation of AI solutions.
Contribute to platform strategies that improve developer productivity and user experience.
Improve Operational Excellence
Establish reliable operational processes, service management practices, and support models.
Drive improvements in system availability, performance, monitoring, and incident response.
Promote strong documentation standards and knowledge-sharing practices across teams.
Ensure effective governance and operational readiness for platform services.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline.
3+ years of experience managing software engineering, platform engineering, infrastructure, or technology teams.
5+ years of hands-on software engineering, platform engineering, cloud engineering, or related technical experience.
Proven experience hiring, coaching, mentoring, and retaining engineering talent.
Strong understanding of cloud-native architectures, distributed systems, and modern infrastructure platforms.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of Kubernetes, containerization, networking, and scalable platform architectures.
Experience leading complex technology initiatives from planning through production deployment.
Familiarity with AI/ML infrastructure, model deployment, inference systems, or AI platform ecosystems.
Strong written, verbal, and stakeholder communication skills.
Preferred Qualifications
Experience building and scaling internal developer platforms or shared engineering services.
Strong understanding of developer experience principles and platform product management concepts.
Knowledge of AI governance, responsible AI practices, model evaluation, or AI safety frameworks.
Ability to influence architectural decisions while maintaining strong people leadership.
Experience contributing to platform engineering, cloud infrastructure, automation, or machine learning ecosystem initiatives.
Familiarity with AI application infrastructure, LLM integrations, agent-based systems, or intelligent automation platforms.
Experience operating within highly dynamic environments and leading teams through ambiguity.
Advanced degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
Demonstrated commitment to technical excellence, collaboration, and continuous improvement.
What You'll Gain
Opportunity to lead the platform initiatives that enable enterprise-wide AI innovation.
Exposure to cutting-edge technologies spanning AI, machine learning, cloud infrastructure, platform engineering, and automation.
Significant influence on technical strategy, engineering culture, and platform direction.
Collaboration with AI engineers, cloud architects, product leaders, and business stakeholders.
A leadership role focused on shaping the future of scalable AI development and developer productivity.
Continuous opportunities for professional growth, innovation, and organizational impact.

## Artifact metadata

- Resume: https://bit.ly/4zP0cr4
- Cover letter: https://bit.ly/4iERHsm
- Direct resume: https://files.keithsteward.com/SoTalent/Keith_Steward_AI_Platform_Engineering_Director_4459228508_Resume.pdf
- Direct cover letter: https://files.keithsteward.com/SoTalent/Keith_Steward_AI_Platform_Engineering_Director_4459228508_Cover_Letter.pdf
- Validation: PASS — 2-page resume (900 words), 1-page cover letter (217 words); PDF geometry, annotations, bounds, text extraction, and links verified.
- Archived JD capture: https://files.keithsteward.com/SoTalent/Keith_Steward_AI_Platform_Engineering_Director_4459228508_JD_capture.md
- Google Drive used: No