Devin & GenAI Technology Leader – Cloud Architecture, Agile & Software Delivery

Job Summary

Synechron is seeking a Devin & GenAI Technology Leader to lead cross-functional technology teams, guide software development initiatives, and support the adoption of emerging technologies, including generative AI.

The role will focus on translating business requirements into technology solutions, evaluating new technologies, developing technology roadmaps, improving delivery processes, and ensuring successful project execution. The position will also provide technical guidance, mentorship, stakeholder management, and vendor coordination.

This role will contribute to business objectives by aligning technology initiatives with business strategy, improving delivery efficiency, supporting innovation, strengthening engineering practices, and enabling scalable, secure, and maintainable technology solutions.

Software Requirements

Required Software Skills

• In-depth understanding of software systems, technology platforms, and modern development practices.
• Knowledge of software architecture, design principles, and design patterns.
• Knowledge of cloud computing platforms and infrastructure.
• Knowledge of database management systems and data structures.
• Familiarity with project management tools and delivery methodologies.
• Knowledge of Agile development methodologies.
• Experience leading cross-functional technology teams.
• Experience managing software development projects and technology initiatives.
• Ability to evaluate new technologies and provide evidence-based adoption recommendations.
• Ability to develop and maintain technology roadmaps aligned with business strategy.
• Familiarity with vendor management, contract negotiation, and technology procurement processes.

Preferred Software Skills

• Experience with generative AI, AI-assisted software development, or related emerging technologies.
• Familiarity with tools used to support AI-enabled development and technology delivery.
• Experience with cloud-native platforms, infrastructure services, and enterprise application environments.
• Familiarity with software delivery, collaboration, documentation, reporting, and project-management tools.
• Exposure to technology governance, architecture review, security assessment, and operational planning tools.

Version and Experience Guidance

• Specific software versions are not mandated in the requirements.
• Candidates should have experience with current, production-supported technologies, cloud platforms, project-management tools, and software-development practices.
• Candidates should be able to assess technology compatibility, manage platform changes, support adoption decisions, and maintain technology roadmaps.
• Experience should include practical leadership of software-development or technology-delivery initiatives.

Overall Responsibilities

• Lead and manage cross-functional technology teams.
• Provide technical guidance, mentorship, and direction to team members.
• Drive technology initiatives and ensure successful delivery of projects.
• Translate business requirements into practical, scalable, secure, and maintainable technology solutions.
• Collaborate with internal stakeholders to understand business objectives, delivery priorities, risks, and dependencies.
• Define and maintain technology roadmaps aligned with overall business strategy.
• Evaluate new technologies, including emerging AI and GenAI capabilities, and make recommendations for adoption.
• Identify areas for improvement and implement process changes to increase delivery efficiency and technical quality.
• Guide teams in applying sound software architecture, design patterns, Agile practices, and engineering standards.
• Support project planning, delivery tracking, risk management, quality oversight, and stakeholder communication.
• Manage vendor relationships and participate in contract negotiation and performance reviews.
• Establish clear expectations for delivery, documentation, security, maintainability, and operational readiness.
• Support continuous improvement through knowledge sharing, mentoring, process standardization, and technology evaluation.
• Contribute to measurable outcomes, including improved delivery predictability, reduced technical risk, efficient resource use, better engineering quality, and successful adoption of suitable technologies.
• Consider sustainability through efficient use of cloud resources, responsible technology adoption, process automation, and reduction of unnecessary operational effort.

Technical Skills (By Category)

Programming Languages

Essential

• Strong understanding of software-development concepts and engineering practices.
• Ability to review technical solutions, architecture decisions, development approaches, and implementation risks.
• Ability to communicate effectively with software engineers and technical specialists across different technology areas.
• Understanding of code quality, maintainability, testing, version control, and software lifecycle practices.

Preferred

• Experience with one or more production programming languages.
• Exposure to programming languages and frameworks used in AI, GenAI, cloud, data, or enterprise application development.
• Familiarity with AI-assisted development and emerging software-engineering tools.

Databases/Data Management

Essential

• Knowledge of database management systems and data structures.
• Understanding of structured and unstructured data concepts.
• Ability to evaluate data-management considerations during solution design and technology planning.
• Understanding of data quality, access control, protection, retention, and governance requirements.

Preferred

• Experience with relational, NoSQL, cloud, or distributed database technologies.
• Familiarity with data platforms that support analytics, AI, and enterprise applications.
• Exposure to data architecture, data integration, data governance, and information lifecycle management.

Cloud Technologies

Essential

• Experience with cloud computing platforms and infrastructure.
• Understanding of cloud architecture, scalability, availability, security, identity, networking, storage, and operational support.
• Ability to evaluate cloud technology options against business, technical, security, delivery, and cost requirements.
• Understanding of cloud resource management and sustainable technology operations.

Preferred

• Experience with cloud-native application development and deployment.
• Familiarity with cloud-based AI, GenAI, data, and developer platforms.
• Exposure to containers, serverless services, infrastructure as code, and platform engineering.
• Experience with cloud cost optimization and resource-efficiency practices.

Frameworks and Libraries

Essential

• Software architecture and design patterns.
• Agile development methodologies.
• Project-management and delivery frameworks.
• Technology roadmap and architecture governance practices.
• Frameworks for stakeholder management, risk tracking, delivery reporting, and continuous improvement.

Preferred

• Generative AI and AI-assisted development frameworks.
• Frameworks supporting technology evaluation, innovation management, and solution assessment.
• Enterprise architecture, security architecture, and technology governance frameworks.
• Scaled Agile or comparable delivery frameworks.

Development Tools and Methodologies

Essential

• Experience managing software-development and technology-delivery initiatives.
• Familiarity with project-management tools and methodologies.
• Knowledge of Agile development practices.
• Ability to establish delivery plans, manage dependencies, monitor risks, and track project progress.
• Experience with requirements analysis, solution design, development oversight, testing, deployment, and operational support.
• Ability to define standards, processes, documentation expectations, quality measures, and delivery outcomes.
• Experience with vendor coordination, contract discussions, service reviews, and relationship manag