We are looking for AI Catalyst Lead

Job Summary

Synechron is seeking a proficient Data Engineer to support the design, development, and maintenance of scalable, efficient data pipelines and enterprise data solutions. The role involves collaborating with cross-functional teams to gather requirements, implement data management strategies, and ensure data quality, security, and availability. The Data Engineer will leverage experience in cloud platforms, big data tools, and modern development practices to enable data-driven decision-making and operational excellence across the organization.

Principal responsibilities

Drive adoption and time-to-value

• Embed with engineering teams to understand their workflows, identify where AI tooling aligned to standardised patterns and platforms add leverage, and guide them from initial setup to confident daily use.

• Design and deliver structured enablement projects — workshops, office hours, self-serve guides — tailored to different engineering personas (backend, frontend, platform, and testing).

• Drive adoption aligned to metrics, ensuring teams move from passive licence holders to active, high-value engineers delivering value back to the business.

Act as a hands-on technical partner

• Write real code alongside customer teams to demonstrate AI-assisted development patterns in context — not just in demos.

• Diagnose and resolve blockers to adoption — whether technical, cultural, or workflow-related.

• Translate early adopter learnings into repeatable playbooks that scale adoption across the organisation.

• Help teams adopt AI tooling and standardise existing developer workflows, CI/CD pipelines, and control standards.

• Serve as the voice of the developer back to the platforms team — bringing structured

• insight about where tooling falls short, what features would unlock the next level of

• value, and what's creating unnecessary friction.

• Collaborate with product managers and engineers on the platform team to prioritise

improvements with the greatest customer impact.

Require 6-10 years of experience

Requirements (Skills)

• 6–10 years in software engineering, developer experience, platform engineering, or a directly adjacent technical role.

• Demonstrated experience with AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor, or similar) in a professional and productionised context — not just experimentation.

• Track record of working across organisational boundaries — either as an internal consultant, DevEx engineer, or technical lead embedded in multiple teams.

• Experience designing and running enablement programmes or technical training for engineering audiences.

• Fluency with modern development workflows: version control, CI/CD, IDEs, code review processes.

• Ability to assess a team's existing toolchain and make pragmatic recommendations rather than prescriptive ones.

• Excellent communicator — able to translate technical concepts for varied audiences, from individual contributors to engineering directors.

• Naturally curious and self-directed: you proactively identify opportunities rather than waiting to be pointed at problems.

Comfortable with ambiguity and able to create structure where it doesn't yet exist.

Preferred Qualifications:

• Cloud architecture certification (e.g. Google Cloud Professional Engineer or AWS Certified Solutions Architect)

• Experience with Docker, Kubernetes and other container orchestration tools.

• Familiarity with modern build and automation tools such as Webpack, Babel etc.

• Knowledge on security best practices and performance optimization technique.

SYNECHRON'S DIVERSITY & INCLUSION STATEME

NTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.