Lead and manage cross‑functional engineering teams delivering AI‑enabled and data‑driven solutions.
Act as a bridge between onshore business/technology stakeholders and offshore delivery teams, ensuring alignment, transparency, and execution.
Provide technical leadership in areas such as AI/ML solutions, automation, cloud‑native architectures, APIs, and modern SDLC practices.
Lead end‑to‑end AI based software delivery, covering design, development, integration, deployment, and ongoing optimization of AI‑enabled solutions.
Own delivery outcomes including planning, execution, risk management, quality, and timelines.
Translate business requirements into clear technical designs and execution plans.
Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.
Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.
Proactively identify risks, dependencies, and bottlenecks; escalate with solutions, not just problems.
Mentor and grow engineers and leads; foster a high‑ownership, high‑performance culture.
Collaborate with Product, Architecture, QA, and DevOps teams to ensure end‑to‑end delivery.
Leadership & Behavioural Expectations:
Highly proactive and execution‑driven; takes ownership and pushes work forward without waiting for direction.
Comfortable challenging status quo constructively and driving decisions.
Strong stakeholder management skills, including senior leadership.
Collaborative, transparent, and solution‑oriented.
Requirements
5+ years of overall engineering experience, with 3-5 years in an Engineering Manager / Technical Manager role.
Strong hands‑on background in software engineering, with exposure to AI/ML, or data engineering.
Experience working in a global onshore-offshore delivery model.
Solid understanding of: AI/ML concepts (model lifecycle, data pipelines, inference, governance - hands‑on not mandatory but must be conversant)
Cloud platforms (Preferably AWS)
Modern application architectures (microservices, APIs, event‑driven systems)
Excellent communication skills able to clearly articulate technical and delivery topics to business and leadership audiences.
Strong execution mindset with the ability to drive outcomes independently.
Proven experience handling ambiguity, competing priorities, and fast‑moving programs.
Must be 18 years of age or older
Experience delivering AI/ML or GenAI solutions in enterprise environments.
Exposure to regulated or large‑scale enterprise systems.
Experience with Agile / Scrum at scale.
Benefits
Mediclaim InsuranceGroup Term Life InsuranceGroup Personal Accident InsuranceEmployee Assistance ProgramPaid Time Off and HolidaysThese benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.Deluxe Corporation is an Equal Employment Opportunity employer:Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.Health insurance
Additional Information
We are looking for a Technical Engineering Manager with strong AI/ML exposure and hands‑on experience in AI based software delivery. This individual will lead high‑impact engineering initiatives, work closely with onshore stakeholders, and drive delivery excellence across offshore teams.
The ideal candidate is a hands‑on technical leader, an effective communicator, and a proactive, go‑getter personality who takes ownership, drives clarity, and delivers results in a fast‑paced environment.
Deluxe · Chennai, India