ABOUT THE ROLE

The AI and Data Science Solution Architect (SA) is a strategic leadership role responsible for ensuring the technical excellence and high-impact delivery of complex AI initiatives. You will bridge the gap between ambitious business objectives and robust technical execution, transforming high-level requirements into scalable, innovative architectural designs while proactively identifying and mitigating technical risks.

As a champion of AI excellence, you will define and enforce rigorous standards across the development lifecycle, overseeing the implementation of best practices in MLOps and LLMOps. Beyond technical design, you will serve as a mentor to the engineering team and a strategic advisor to executive leadership, providing critical insights on emerging technologies and long-term innovation roadmaps.

We need experts in both AI and Data Science. Your specific focus will depend on your background and experience.

KEY RESPONSIBILITIES

Project Responsibilities

• Architect high-impact AI and Data Science solutions that directly address strategic business priorities.
• Oversee end-to-end design, verification, and technical governance across initiatives.
• Strategically identify and validate technical risks and dependencies in collaboration with cross-functional stakeholders.
• Partner with Technical Architects to ensure seamless integration of AI components within the broader enterprise ecosystem.
• Balance rapid prototyping and agile experimentation with the rigorous requirements of enterprise-grade accuracy and reliability.
• Provide high-level technical direction to Data Scientists and AI Engineers, fostering a culture of innovation and excellence.
• Establish and oversee comprehensive performance metrics to evaluate the success and ROI of AI solutions.
• Champion rigorous testing/validation methodologies to ensure the integrity, safety, and ethical application of AI models.
• Collaborate with the Technical Architecture team to define and evolve organizational software and data engineering standards.
• Drive the operational readiness of MLOps and LLMOps frameworks to ensure sustainable, production-level performance.

Organizational Responsibilities

• Collaborate closely with the Head of Solution Architecture to drive long-term strategic planning and capability growth.
• Define, mature, and implement best practices, governance guidelines, and architectural frameworks for the solution architecture function.
• Conduct rigorous feasibility studies and proof-of-concept evaluations for proposed AI and Data Science initiatives.
• Serve as a subject matter expert, providing strategic advice on the adoption of emerging AI tools, libraries, and frameworks.
• Act as an escalation point to diagnose, investigate, and resolve complex technical bottlenecks and architectural issues.
• Lead technical exploration into cutting-edge technologies to future-proof the team’s technical stack.
• Design and execute structured training, upskilling, and mentoring programs for the broader SA and engineering teams.
• Contribute to performance management by participating in goal-setting, alignment workshops, and team performance reviews.
• Drive talent acquisition efforts by assisting in the recruiting, interviewing, and onboarding of top-tier technical talent.
• Support the Project Management Office (PMO) in implementing and refining Agile frameworks tailored for AI/DS projects.

QUALIFICATIONS & SKILLS

Required Skills

• A minimum of 7 years of professional experience in a Data Scientist, AI Engineer, or more advanced technical role.
• Advanced analytical and problem-solving capabilities, with a proven track record of deconstructing ambiguous business problems.
• Deep theoretical and practical understanding of core AI concepts, machine learning algorithms, statistical modeling, and modern data science tools.
• Proven experience (at least 3 years) architecting and deploying highly scalable, resilient, and production-grade AI/DS solutions within enterprise environments.
• Solid foundation in modern software engineering principles, including CI/CD automation, robust testing paradigms, containerized security, and version control workflows.
• Hands-on experience implementing MLOps and LLMOps paradigms, specifically covering automated deployment pipelines, model registry, monitoring, and observability.
• Proficiency with major cloud ecosystems (such as AWS, Azure, or Google Cloud Platform), specifically their native data and AI/ML service offerings.
• Exceptional interpersonal and communication skills, with a demonstrated ability to influence and collaborate across diverse, cross-functional teams.
• Full professional fluency in English.

Preferred Skills

• Direct experience engineering with Large Language Models (LLMs), multi-agent frameworks, and Agentic AI.
• Comprehensive understanding of specialized frameworks and lifecycle methodologies unique to AI research, development, and deployment.
• Background in technical consulting for data science and AI, including a proven ability to provide authoritative guidance on industry best practices, solution design, and target-state implementation strategies.
• Familiarity with building future-ready teams by strategically aligning talent capabilities with organizational objectives and cultivating a strong culture of continuous learning.

WHY YOU’LL LOVE WORKING WITH US

Flexible Hours: 5 working days/week (Mon-Fri) with a focus on output, not clock-watching.

Hybrid Model: 2 days WFH per week (team-based decision).

Generous Leave: 12 days annual leave + special seniority benefits.

Allowances: Lunch and gasoline support.

Competitive Income: 13th-month salary + Performance-based bonuses.

Full Insurance: Social, Health, and Unemployment insurance based on Gross Salary.

Premium Care: Health Insurance for you, with seniority-based extension to family members.

Learning Culture: Training for specialized skills, soft skills, and English.

Engagement: Monthly Happy Hours, Company Trips, and vibrant Sport Clubs (Soccer, Yoga, Badminton).

Well-being: Annual health check-ups and a supportive, collaborative environment.

Clear career progression in venturing into domain specific expertise with AI and business knowledge

Variety of choices of clients for you to interact with to grow and learn.