AI Technical Architect

AI Technical Architect

Position Description
We are looking for a Technical Architect (Manager Expert), with expertise on Generative AI and has background experience in working with Customer Experience (CX) related solutions, to design our development projects and oversee programs to ensure the proper architecture is implemented.

Your future duties and responsibilities
In this role, you should be an excellent communicator who is able to translate complex requirements into functional and technical architecture design. You are expected to own and guide the development team to ensure that each project is delivered as planned. 

This is a senior role and your goal is to ensure that our automation development projects are designed in the most effective way, projects are delivered on time and per expectations, and internal automation development framework operates properly, and adheres to Industry standards. 

Essential Functions: 
Your main responsibilities as Technical Architect are as follows: 
. Understand client needs to define automation development specifications 
. Propose and implement scalable design, software improvements and optimization solutions 
. Provide extensive code reviews with software engineers 
. Develop both front-end and back-end with tests and standards in place 
. Helps analyze business software requirements and comply to SLA requirements 
. Conduct business analysis to capture end to end requirements 
. Plan and design the structure of a technology solution, come up with estimates and create a proposal 
. Communicate system requirements to software development teams 
. Evaluate and select appropriate software or hardware and suggest integration methods 
. Own and Oversee oversee assigned programs (e.g. conduct code review) and provide guidance to team members until delivery of the project 
. Assist with solving technical problems when they arise 
. Ensure the implementation of agreed architecture and infrastructure 
. Address technical concerns, ideas and suggestions 
. Meet with the governance team to relay project updates, risks and issues
. Train junior members to conduct Business Analysis and Architectural Design 
. Able to meet or exceed agreed service level targets with the client in the Service Level Agreement (SLA) in terms of:
1. Incident Management
2. Problem Management
3. Service Requests
4. Change Management 

Required qualifications to be successful in this role
## Education: 
. Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field. 
- Master's or Doctoral degree in Computer Science or a related field is a strong advantage. 
- Certifications in AI, Cloud, or Enterprise Architecture is a plus. 

## Experience: 
. 10+ years of overall IT experience, including: 
- 5+ years in technical or solution architecture roles. 
- 5+ years in Generative AI model architecture design and implementation, 
- with proven experience in productionizing AI-driven solutions. 
. Strong background in web technologies and enterprise-grade application design and integration. 
. Demonstrated leadership in AI/ML and Data Science projects. 
. Familiarity with AI methodologies, Agile development, DevOps, and MLOps practices. 

## Technical Expertise: 

. Programming & Development
- Proficiency in Python, TypeScript, Node.ts, ReactTS.
- Strong scripting skills (Shell scripts). 
- Expertise in SQL and experience with relational and NoSQL databases. 

. AI, Machine Learning & Data Science 
- Deep understanding of AI model architectures and lifecycles (e.g., Neural Networks, Deep Learning, NLP, Generative AI). 
- Hands-on experience with frameworks: Scikit-learn, TensorFlow, and PyTorch
- Skilled in ML experimentation, training, and hyperparameter tuning.
- Data Science capabilities: data analysis, visualization, and feature engineering. 

. Data Engineering & MLOps 
- Knowledge of ETL pipelines, feature stores, and CI/CD for ML (e.g., MLflow, DVC, Azure ML). 

. Intelligent Automation 
- Expertise in Agentic AI systems for autonomous task orchestration. 
- Experience designing Copilot-style assistants integrated into enterprise workflows. 
- Knowledge of Model Context Protocol (MCP) for multi-agent collaboration and interoperability. 
- Ability to integrate AI-driven automation into business processes for decision support, workflow optimization, and self-service solutions. 

. Cloud & Infrastructure 
- Hands-on experience with either AWS, Azure, and GCP, 
- Docker or Kubernetes containerization. 
- Familiarity with open systems architecture and cloud-native design. 

. Architecture & Security
- Expertise in microservices, API design, integration patterns, and AI governance (security, compliance, ethics). 

## Work Setup & Schedule:
- Must be amenable to working onsite 3x a week at McKinley, Taguig, on a mid to night shift schedule.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.