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Director, Solution Engineering Lead
Job in
Norwalk, Fairfield County, Connecticut, 06860, USA
Listed on 2026-07-14
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-14
Job specializations:
-
IT/Tech
IT Project Manager, Systems Engineer, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Responsibilities
- Define and maintain a clear technical roadmap aligned with Pfizer Digital standards and enterprise architecture
- Ensure engineering decisions support scalability, security, and compliance requirements
- Collaborate with product owners to translate business objectives into actionable technical plans
- Manage and mentor a team of engineers across full-stack, cloud, and UI disciplines
- Foster a culture of innovation, accountability, and continuous learning
- Oversee resource allocation and capacity planning to meet delivery timelines
- Lead the design and implementation of technical solutions that meet customer and product owner expectations
- Ensure adherence to best practices in coding, testing, and deployment
- Drive integration of solutions into existing workflows for seamless user experience
- Establish standards for code quality, testing, and validation to ensure reliable delivery
- Monitor system performance and implement improvements for scalability and efficiency
- Act as the primary technical liaison between engineering teams and business stakeholders
- Communicate technical concepts clearly to non-technical audiences
- Develop and maintain comprehensive design documentation, including diagrams, data flows, and technical specifications
- Assess and manage relationships with external technology vendors, cloud providers, and implementation partners
- Ensure vendor solutions align with internal architecture and compliance standards
- Bachelor's degree required in Computer Science, Engineering, or related field
- 8+ years of relevant experience
- Deep technical expertise with a proven track record of organization-wide technical leadership
- Proven experience in designing and deploying AI solutions in healthcare or regulated industries
- Deep understanding of cloud platforms (e.g., Azure, AWS, GCP), microservices, APIs, and data engineering
- Familiarity with AI/ML frameworks (e.g., Tensor Flow, PyTorch), MLOps, and model lifecycle management
- Excellent communication, stakeholder management, and analytical skills
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