Key Responsibilities

1. Agentic AI Architecture & Technology Leadership

- Define and own the architecture and technical strategy for Agentic AI platforms and applications.
- Design scalable, secure, reliable, and production-ready agentic AI architectures.
- Drive the design of AI agents, multi-agent systems, orchestration frameworks, tool integration, memory, reasoning, and workflow automation.
- Evaluate emerging Agentic AI technologies, frameworks, models, and architectural patterns and translate them into practical healthcare applications.
- Establish engineering and architectural standards for AI/ML products and platforms.

2. Healthcare AI & Clinical Technology

- Lead the development of AI platforms & applications addressing complex healthcare and clinical use cases.
- Apply knowledge of healthcare workflows, clinical data, healthcare interoperability, and regulatory considerations to technology architecture.
- Partner with product and clinical stakeholders to translate healthcare problems into scalable technology solutions.
- Experience with medical/clinical imaging, radiology, or imaging workflows will be an added advantage.

3. Engineering & Product Delivery

- Lead the end-to-end engineering lifecycle from architecture and design through development, deployment, and production scale.
- Ensure solutions are scalable, resilient, secure, observable, and commercially viable.
- Establish strong engineering practices around quality, testing, CI/CD, MLOps/LLMOps, monitoring, and production reliability.
- Work closely with Product, AI/ML, Clinical, and Business leadership to ensure successful delivery of strategic initiatives.

4. People Leadership

- Build, lead, and mentor a high-performing team of AI, software, and platform engineers.
- Develop technical leadership within the organization and create a culture of ownership, innovation, and engineering excellence.
- Attract and retain high-calibre engineering and AI talent.




- Provide technical mentorship and establish clear career-growth paths for engineering teams.

5. Executive Leadership & Stakeholder Management

- Operate with High level of ownership and executive presence.
- Partner closely with senior leadership to define and execute the organization''s AI and technology strategy.
- Represent the company''s technology capabilities in discussions with customers, strategic partners, investors, and industry stakeholders.
- Build the organization''s technology reputation and thought leadership in Agentic AI and healthcare AI.

Key Hiring Priorities The ideal candidate will bring:

- 10 years of overall technology/engineering experience.
- 2 to 3 years of meaningful experience in Agentic AI, with robust hands-on exposure to architecture and design.
- Proven expertise in Agentic AI architecture, platform design, and implementation.
- Good experience in the Healthcare domain is mandatory.
- Strong engineering leadership and people management experience.
- Demonstrated ability to operate at leadership level scope and accountability.
- Strong executive communication, stakeholder management, and external presence.
- Experience in Medical Imaging, Clinical Imaging, Radiology, or healthcare imaging workflows is highly desirable.
- Strong builder mentality with the ability to move between strategic architecture and hands-on technical problem solving.
- Preferred Candidate Background
- We are particularly interested in candidates who have worked in start-up or high-growth environments, including:
- Founders / CTOs of AI, Healthcare AI, or DeepTech start-ups.
- Young CTOs / Engineering leaders who have built AI products and platforms.
- Engineering leaders who have taken AI products from 0-to-1 and subsequently scaled them.
- Founders/Co-founders whose ventures are winding down or undergoing transition due to funding or business circumstances, but who possess strong relevant technology expertise and leadership capabilities.

📌 Engineering Leader - Agentic AI & Healthcare/Medical Imaging (Bengaluru)
🏢 Saiharmony Solutions India
📍 Bengaluru