Logo for ClearSource BPO

AI & Innovation Director - PH

Roles & Responsibilities

  • 5+ years in a product, engineering, or technology leadership role.
  • Proven track record of shipping AI/LLM-based tools or products into production (not just proofs of concept).
  • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic Claude, Google Gemini) and orchestration frameworks (LangChain, LlamaIndex, or similar).
  • Experience managing or mentoring a technical team and bridging technical implementation with business stakeholders.

Requirements:

  • Build and ship AI products: design, development, and deployment of LLM-powered tools—from internal automation to client-facing solutions, with end-to-end lifecycle ownership.
  • Lead a small team: hire, manage, and develop AI engineers, set technical direction, prioritize the roadmap, and drive delivery with a fast experimentation culture.
  • Drive organizational adoption: partner with department heads to identify where AI can reduce cost or create value, and build enablement programs for non-technical teams while championing responsible AI practices.
  • Stay ahead of the curve: monitor LLM ecosystems, evaluate capabilities for business applicability, manage vendor relationships, and report ROI and strategy to senior leadership.

Job description

ABOUT THE ROLE 

ClearSource is looking for a Director of Innovation who has gone beyond experimenting with AI — someone who has shipped real products and tools powered by large language models (LLMs) inside a company. You will own our AI roadmap end-to-end: identifying high-impact use cases, building or overseeing the tools that bring them to life, and driving adoption across the business. 

This is a player-coach role. You will lead a small team while staying hands-on technically — scoping solutions, guiding architecture decisions, and rolling up your sleeves when needed. You report to a VP/SVP and will work cross-functionally with Operations, Technology, and Client Services to embed AI into the fabric of how ClearSource operates. 

WHAT YOU'LL DO 

Build & Ship AI Products 

  • Lead the design, development, and deployment of LLM-powered tools — from internal automation to client-facing solutions. 

  • Translate ambiguous business problems into scoped, buildable AI products with clear success metrics. 

  • Own the full product lifecycle: ideation → prototype → pilot → scaled rollout. 

Lead a Small Team 

  • Hire, manage, and develop a small team of AI engineers, analysts, or product specialists. 

  • Set technical direction, prioritize the roadmap, and hold the team accountable to delivery timelines. 

  • Foster a culture of fast experimentation — build, test, learn, iterate. 

Drive Organizational Adoption 

  • Partner with department heads to identify where AI can reduce cost, improve quality, or create new value. 

  • Build internal enablement programs so non-technical teams can leverage AI tools confidently. 

  • Champion responsible AI practices — governance, bias awareness, data privacy, and security. 

Stay Ahead of the Curve 

  • Monitor the LLM ecosystem (OpenAI, Anthropic, Google, open-source models) and evaluate new capabilities for business applicability. 

  • Build and maintain relationships with key AI vendors and platform partners. 

  • Report progress, ROI, and forward-looking strategy to senior leadership. 

WHAT WE'RE LOOKING FOR 

The most important thing: you have actually built and launched LLM-powered products inside a company — not just used AI tools, but built them. 

Required Experience 

  • 5+ years in a product, engineering, or technology leadership role. 

  • Demonstrated track record of shipping AI/LLM-based tools or products into production (not just proofs of concept). 

  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or open-source equivalents) and common orchestration frameworks (LangChain, LlamaIndex, or similar). 

  • Experience managing or mentoring a technical team. 

  • Ability to bridge the gap between technical implementation and business stakeholder communication. 

Preferred Experience 

  • Background in BPO, contact center, or tech-services environments — you understand the operational context we work in. 

  • Experience with RAG (Retrieval-Augmented Generation), fine-tuning, or prompt engineering at scale. 

  • Familiarity with enterprise AI governance frameworks and responsible AI principles. 

  • Prior work in a multi-geo or global team environment. 

Related jobs

Other jobs at ClearSource BPO

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.