Maximize Your Impact with TP
Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.
As a Great Place to Work certified in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.
The Opportunity
The Director – AI Architect leads the global design and governance of Teleperformance's AI architecture under the TP.ai FAB framework. This role is responsible for defining the technical direction, integration standards, and scalable architecture patterns for AI platforms and products across all FAB layers — ensuring interoperability between data, models, and applications. The Director acts as a cross-functional leader bridging AI Engineering, Data Science, Product, and Security teams, driving architectural excellence, reusability, and compliance across the enterprise AI landscape.
The Responsibilities
- Define and evolve the end-to-end AI architecture blueprint, including model lifecycle, data flow, and orchestration pipelines.
- Oversee the design of AI microservices, APIs, and integration layers with FAB foundation and enablement components.
- Ensure interoperability between ML models, data systems, and user-facing applications.
- Establish architecture principles, patterns, and review processes aligned with FAB's global governance.
- Maintain architectural repositories, documentation, and versioning of reusable AI components.
- Define guardrails for security, compliance, and Responsible AI practices across all deployments.
- Partner with Data Engineering, ML Engineering, and Product teams to ensure scalable, production-ready AI solutions.
- Collaborate with Security, Compliance, and Legal teams to ensure alignment with SOC2, GDPR, and AI governance standards.
- Provide architectural oversight for global AI projects and client implementations.
- Evaluate and integrate emerging AI technologies (LLMs, LangGraph, RAG, multimodal architectures).
- Lead proof-of-concept and platform evaluations to guide FAB's AI evolution roadmap.
- Drive cloud-native and hybrid AI deployment models leveraging Azure, AWS, or GCP.
- Guide a distributed team of Solution Architects and Senior AI Engineers.
- Promote best practices in MLOps, model versioning, observability, and testing.
- Build architectural capacity within regional and product-specific AI squads.
The Qualifications
- Bachelor's or master's degree in computer science, Artificial Intelligence, or Software Engineering. Postgraduate studies or certifications in AI/ML Architecture or Cloud Architecture (Azure, AWS, GCP) are highly desirable.
- 12+ years of experience in software or AI engineering, including at least 5 years in architectural or leadership roles.
- Proven track record designing and implementing large-scale AI or ML systems in production environments.
- Experience working with distributed teams, cloud ecosystems, and enterprise-level data and model architectures.
- Familiarity with Responsible AI frameworks, ethical AI design, and risk governance.
- Deep knowledge of AI/ML architectures, MLOps, and orchestration pipelines.
- Hands-on experience with Python, Node.js, and frameworks such as TensorFlow, PyTorch, and LangChain.
- Expertise in cloud AI platforms (Azure AI Foundry, AWS SageMaker, GCP Vertex AI).
- Strong understanding of microservices design, API orchestration, containerization.
- Knowledge of vector databases, RAG architectures, and prompt management systems.
- Experience integrating security, compliance, and observability into AI workflows.
- Strategic and analytical thinker with strong systems-design capability.
- Excellent communication and presentation skills across technical and executive audiences.
- Influential leadership with a collaborative, mentoring mindset.
- Adaptability and resilience in fast-paced, evolving environments.
- Passion for innovation and continuous architectural improvement.
Pre-Employment Screenings
By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening.
Important | Policy on Unsolicited Third-Party Candidate Submissions
TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
Culture & Belonging
At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
