Forward Deployed Engineer (AI)

ICAP; Manila; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

TP ICAP is seeking a Forward Deployed AI Engineer to lead end-to-end deployments of AI solutions within business divisions. You will own discovery, scoping, system design, build, and production rollout, embedding with stakeholders to deliver high-value AI capabilities.

You will partner with domain teams to architect solutions, drive adoption from prototype to production, and provide feedback to shape product direction and model improvements. Hybrid work model, Manila-based.

Qualifications

• Expertise in Generative AI, ML and large language models with prompt engineering
• Proficiency in Python AI/ML frameworks and production-grade code
• Track record architecting scalable, production-ready solutions
• Experience managing technical priorities in Agile environments
• Strong ability to translate AI capabilities into business language for leadership

Responsibilities

• Own full lifecycle of AI deployments from discovery to production rollout
• Partner with stakeholders to translate domain requirements into technical solutions
• Architect and deploy AI apps powered by LLMs and generative AI
• Co-develop and enhance shared AI service platform with central AI Lab
• Measure adoption and business impact, present outcomes to leadership

Skills

Generative AI

Machine Learning

LLMs

Python

Full stack

Agile

Communication

Tools

React

AWS

Okta

REST APIs

Job description

TP ICAP is a leading global provider of market infrastructure and data solutions, specialising in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision-making and drive growth. We’ve built a dedicated AI & Innovation Lab to drive real change across the organisation, developing and delivering AI solutions that transform how we work.

Role Overview:

The Forward Deployed AI Engineer is a high-autonomy, high-impact role at the intersection of delivery and core platform development. You will embed directly with TP ICAP’s business divisions to lead end-to-end deployments of AI solutions. Owning discovery, technical scoping, system design, build, and production rollout.

You will partner directly with domain teams to identify high-value AI opportunities, architect solutions tailored to real business problems and drive adoption from first prototype to stable production. Equally, you will serve as a critical feedback channel to TP ICAP’s central AI platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI.

Role Responsibilities

• Own the full lifecycle of AI deployments within your assigned business division. Initial discovery and technical scoping through system design, build, and production rollout. Ensure solutions are technically sound, aligned to business outcomes, and delivered with the urgency and quality expected of a forward-deployed team.

• Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well-defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade-offs, and outcomes clearly to leadership.

• Architect, build, and deploy cutting-edge AI applications powered by large language models and generative AI. Write and review production-grade code across frontend and backend systems, ensuring scalability, reliability, and strict data stewardship.

• Co-develop and enhance TP ICAP’s shared AI service platform in collaboration with the central AI & Innovation Lab. Feed field insights back to inform product roadmaps, identify where models succeed, and surface areas for improvement.

• Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact and evaluation-driven feedback. Present outcomes and strategic recommendations to leadership, demonstrating tangible business value.

Experience:

• Expertise in Generative AI, Machine Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks.

• Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack.

• A proven track record architecting and designing scalable solutions that move from prototype to production.

• Experience managing technical priorities within an Agile environment, resolving dependencies and ensuring alignment across stakeholders and platform teams.

• Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language.

Desirable Experience:

• AWS experience including AI services such as Bedrock and the Serverless ecosystem.

• Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI-driven back-end services.

• Expertise in back-end development, with experience in building and deploying scalable APIs and microservices to support AI solutions.

• Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full-stack applications, ensuring data protection and privacy across AI solutions.

Role Band and Level: Professional / 5

#LI-Hybrid #LI-MID

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That’s why we’re building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

Philippines - Ecoprime Building - Taguig City