AI Solution Architect, Pre-Sales

ABOUT US

Syniti, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. 

The ROLE

We are hiring a senior individual contributor who thrives in ambiguity and owns complex business problems end to end. This role is not about following predefined technical instructions or implementing documented solutions. It is about identifying the right problems to solve, framing them correctly, and applying technology, including AI, in pragmatic and creative ways to deliver measurable business outcomes.

The ideal candidate operates at the intersection of business, data, and technology. They translate unclear, high impact business challenges into deployable decision systems and ensure those solutions are adopted, governed, and sustained in real operational environments.

WHAT YOU WILL DO

• Own ambiguous, high value business problems from initial framing through delivery and adoption.
• Work with business stakeholders to clarify goals, constraints, risks, and success metrics.
• Translate business objectives into decision requirements, data needs, evaluation criteria, and solution approaches.
• Partner with technical teams to design and apply AI and analytics solutions that are fit for real world use.
• Evaluate tradeoffs between accuracy, speed, cost, risk, and adoption rather than optimizing a single metric.
• Design solutions that account for data quality, governance, operational workflows, and human decision making.
• Drive stakeholder alignment and decision making using evidence, not authority.
• Measure impact post deployment and iterate based on outcomes and feedback.
• Document assumptions, decisions, and learnings to enable reuse and scaling.

WHAT SUCCESS LOOKS LIKE

• Business problems are framed clearly and correctly before technology is applied.
• Solutions move from concept to production and are actually used by the business.
• Stakeholders understand tradeoffs and trust the decision process.
• AI and analytics efforts result in measurable operational or financial impact.
• Risks related to data quality, bias, governance, or adoption are identified early and managed intentionally.
• Lessons learned are captured and reused across domains.

Core Competencies We Are Hiring For

Problem Framing and Judgment

• Ability to decompose unclear problems into decisions, metrics, and constraints.
• Comfort operating without complete information.
• Willingness to revise direction when evidence changes.

Business and Technical Translation

• Ability to communicate fluently with business leaders and technical teams.
• Understanding of AI and analytics sufficient to assess feasibility and tradeoffs.
• Focus on decisions and outcomes rather than tools or models.

Socio Technical Delivery

• Designs solutions that work within real processes, incentives, and governance structures.
• Anticipates failure modes beyond pure technical performance.
• Plans for adoption, monitoring, and iteration from the start.

Learning Velocity

• Demonstrated ability to learn new domains or tools quickly.
• Actively seeks feedback and improves based on evidence.
• Applies prior learning across different problem contexts.

WHAT IT TAKES

• Proven experience owning complex, cross functional problem solving initiatives.
• Demonstrated track record of translating business problems into analytical, AI, or decision support solutions.
• Strong reasoning and judgment in situations with uncertainty and competing priorities.
• Ability to communicate complex ideas clearly in writing and discussion.
• Experience working with data, analytics, or AI teams in applied settings.
• Comfort being accountable for outcomes, not just recommendations.

Preferred Qualifications

• Experience in roles such as analytics translator, solution architect, product strategy, applied data science, or management consulting.
• Experience delivering solutions that changed operational workflows or decisions.
• Familiarity with data governance, data quality, or AI risk considerations.
• Experience writing decision memos, business cases, or structured problem statements.
• Background that combines technical depth with business ownership.

Who This Role Is Not For

Individuals who prefer fully specified requirements and predefined solution paths.

Roles focused solely on model building or technical execution without business ownership.

Candidates who optimize for technical elegance without regard for adoption or impact.

WHY THIS ROLE MATTERS

As AI capabilities accelerate, competitive advantage shifts away from tooling and toward problem selection, framing, and execution. This role is critical to ensuring AI investments translate into durable business capability rather than isolated pilots.

WHAT WE OFFER

• Trust in your talent. At Syniti you will find a supportive environment and access to learning tools, but micromanagement is not our style.
• Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly you will have the chance to shape our journey and share in our success story.
• Support. We all rely on each other and enable each other to be successful. You won’t stand alone.
• Curiosity and genuine interest in you. We all have our different stories, all equally fascinating with each depicting a different journey and we want to hear them all.
• Recognition. We are the sum of individual achievements, and we always take the time to celebrate them.
• An open organisation. Titles don’t define access at Syniti. We stay humble regardless of where we sit in the organisation. We want to hear every voice, listen to all the ideas and make sure everyone’s work is seen and valued.

Our Commitment to Inclusion

At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. 

We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.