Generative AI Solution Architect

We are seeking an experienced Generative AI Solution Architect to join our team. Are you an architect passionate about designing innovative, scalable solutions that make a real impact? We’re looking for creative thinkers with strong architectural foundations, curiosity, and the drive to master emerging technologies. Whether you’re already an expert or eager to grow into one, we value your problem‑solving mindset and ability to deliver results.

You don’t need to check every box — what matters most is your aptitude, adaptability, and track record of success. Join a team where your ideas shape next‑generation solutions and continuous learning is part of the journey. If this sounds like you, apply now and help us build what’s next.

• Design and deliver scalable, resilient, and secure enterprise‑grade solutions, ensuring alignment with business goals and technical strategy
• Lead architecture design sessions and guide engineering teams through hands‑on prototyping, implementation, and best practices
• Collaborate closely with clients to understand needs, define outcomes, and translate business challenges into actionable architectural blueprints
• Drive modernization initiatives leveraging cloud‑native technologies, data platforms, and event‑driven systems
• Integrate Generative AI components into solutions, applying frameworks, APIs, and vector databases to achieve measurable impact
• Communicate complex technical concepts clearly to executive stakeholders, contributing to discovery workshops, demos, and pre‑sales activities

• 8+ years of experience in software development and solution architecture, with a proven record of delivering enterprise solutions
• Strong coding proficiency and ability to prototype, automate, and collaborate with engineering teams across multiple technologies
• Hands‑on expertise with at least one major cloud platform (Azure, AWS, or GCP) and familiarity with containers, Kubernetes, and Infrastructure as Code
• Solid understanding of data engineering, integration patterns, data governance, and privacy‑by‑design principles
• Practical experience or strong theoretical grounding in Generative AI, including orchestration frameworks (Lang Chain, Llama Index), vector databases, and model APIs
• Excellent client engagement, communication, and presentation skills, with the ability to manage ambiguity and deliver results in complex environments
• Fluency in English, both written and spoken
• Openness to occasional travel for key client engagements, such as workshops, project kick‑offs, or strategic planning sessions

• Experience with Multimodal AI, including vision/OCR, audio (TTS/STT), video processing, document intelligence, or synthetic data generation
• Background in domain‑specific environments such as Financial Services, Retail, Life Sciences & Healthcare, or other regulated industries
• Understanding of AI security and risk management, including prompt injection, data poisoning, and third‑party model vulnerabilities
• Familiarity with UX design for AI assistants, human‑in‑the‑loop review systems, and enterprise‑scale adoption or change management