# Solutions Engineering Manager at Sanofi

AI Level 1, AI centrality 25 out of 100. Hyderabad.

## Details

- Company: [Sanofi](https://jobsbylevel.com/companies/sanofi)
- AI level: AI Level 1 (score 25 out of 100)
- Location: Hyderabad
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/13258d0d-6167-46f5-9f76-2f90399952e2

## Description

Role Overview The Solutions Engineering Manager is accountable for the solution engineering practice: the people, the standards, and the delivery quality of technical solutions built across the enterprise technology platforms. Where platform managers own a specific platform, this role owns the capability that turns business demand into well-designed, well-built solutions on top of those platforms, and helps to influence those platform’s features and roadmaps. The Technology Solution Engineering Manager runs the practice as an internal product and as a service. That means a clear demand intake process, published solution design standards, a growing library of reusable patterns, measurable delivery quality, and a team whose technical depth and breadth keeps pace with the estate they work across. The practice spans cloud infrastructure on Microsoft Azure and Amazon Web Services, integration, APIs, automation, containers, and web hosting. This role leads a team of approximately five to ten solution engineers across junior and experienced levels. Key Responsibilities Practice Strategy and Service Management Define and maintain the solution engineering practice strategy, operating model, service definition, and multiyear roadmap. Manage the practice as an internal service with defined customers, engagement models, adoption targets, and success measures. Translate business and technology demand into a prioritised, resourced delivery plan. Establish the practice's position in the delivery lifecycle and its interfaces with architecture, platform teams, and operations. Maintain a transparent backlog and communicate priorities, capacity, and trade-offs to stakeholders. Demand Intake and Engagement Own the demand intake process, including qualification, sizing, prioritisation, and acceptance criteria for engagements. Establish a clear front door for business functions seeking technical solutions, with predictable response and triage. Define and operate engagement models spanning advisory, assisted delivery, and full end-to-end solution delivery. Solution Design Standards and Technical Governance Own solution design standards, design documentation templates, architecture decision records, and non-functional requirement baselines. Establish and run design review and technical assurance processes proportionate to solution risk and reach. Ensure solutions favour approved platform capabilities, golden paths, and reference architectures over bespoke build. Set the bar for technical quality, and hold the team to it through review, feedback, and correction. Reusable Patterns and Capability Building Build and curate a library of reusable solution patterns, modules, reference implementations, and accelerators. Measure and drive reuse, actively reducing repeated bespoke solutions to the same problem. Identify recurring demand that should become a productised platform capability, and make the case to the relevant platform team. Embed AI-assisted engineering into the team's working methods, with appropriate review and quality controls. Delivery Quality and Assurance Own the quality, timeliness, and cost of solutions delivered by the practice. Ensure every solution meets operational readiness criteria before production release, including monitoring, runbooks, and support arrangements. Track and reduce defects, rework, post-implementation incidents, and unplanned support burden. Governance, Security, and Risk Embed security, compliance, and data-protection requirements into the practice's design and delivery standards. Partner with Cybersecurity, Architecture, Risk, Quality, and Compliance teams to maintain approved patterns. Ensure designs use approved identity, secrets, and certificate services, including Entra ID, HashiCorp Vault, and CyberArk. Track and manage technical debt, design exceptions, unsupported solutions, and remediation commitments. Financial and Vendor Management Manage practice budgets, forecasts, resourcing, and cost-optimisation

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