Technical Engineering Manager

About the job :

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.

Key Responsibilities :

- 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.

Basic Qualifications :

- 10 years of overall engineering experience, with 8 years in an Engineering Manager / Technical Manager role.

- Strong hands-on background in software engineering, with exposure to Python, AI/ML, or data engineering.

- Experience working in a global onshore-offshore delivery model.

- Solid understanding of Python, AI/ML concepts (model lifecycle, data pipelines, inference, governance), Cloud platforms (Preferably AWS/Azure), and 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.

Preferred Qualifications :

- Experience delivering AI/ML or GenAI solutions in enterprise environments.

- Exposure to regulated or large-scale enterprise systems.

- Experience with Agile / Scrum at scale.

- Healthcare domain exposure is an add-on.

About Rialtic :

Rialtic is an enterprise software platform empowering health insurers and healthcare providers to run their most critical business functions. Founded in 2020 and backed by leading investors including Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners, Rialtic's best-in-class payment accuracy platform brings programs in-house and helps healthcare organizations gain full control over processes traditionally managed by fragmented vendors. Today, we partner with leading healthcare insurers and providers to tackle a $1 trillion problem - reducing costs, increasing efficiency, and improving quality of care.

Why You'll Love It Here :

At Rialtic, you'll be part of a team that's bold, mission-driven, and values-centered :

- High Integrity : Do the right thing. Be candid, humble, and respectful.

- Customer Value Comes First : Our customers are our North Star.

- Work as One Team : Collaboration and inclusion drive better outcomes.

- Be Bold & Accountable : Speak up, take ownership, and keep improving.

- Pursuit of Excellence : Innovate, iterate, and raise the bar.

- Take Care of Yourself & Others : Wellbeing matters - for everyone.

Don't Meet Every Qualification?

Studies show that women and people of color are less likely to apply to jobs unless they meet every qualification listed. At Rialtic, we're building a diverse, inclusive, and authentic workplace - if you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway.

Skills

Engineering Management, Artificial Intelligence, Machine Learning, Data Science, Data Scientist, Python, API, Data Management, Data Pipeline, Data Engineering