
AI Solutions Architect
1 week ago
We're on the hunt for a seasoned AI consultant to spearhead our Generative AI initiatives.
As a key member of our team, you'll be responsible for driving innovation and delivering cutting-edge solutions that meet and exceed client expectations.
About the Role:- Solution Leadership: Collaborate with clients to identify their business challenges and develop tailored GenAI solutions.
- Technical Architecture: Translate client needs into actionable solution concepts, defining architecture, data strategy, model selection, and tooling required for success.
- Project Ownership: Lead end-to-end delivery of GenAI solutions, ensuring technical quality, alignment with business goals, and timely execution of project milestones.
- Team Mentorship: Guide and mentor cross-functional teams, including engineers and data scientists, fostering best practices and ensuring project accountability.
- Hands-On Contribution: While leading the project, remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
- Stakeholder Management: Serve as key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
- Proposal Development: Collaborate with internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.
- Proven experience leading technical teams and taking ownership of AI-driven solutions.
- Strong client-facing communication skills with ability to articulate complex technical concepts to executive and technical stakeholders.
- Deep understanding of Generative AI technologies, including LLMs, RAG architectures, vector databases, embeddings, and agentic systems.
- Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks.
- Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker, Azure OpenAI, or Google Vertex AI.
- Prior experience in consulting, pre-sales, or freelance capacity is strongly preferred, demonstrating ability to work effectively with external clients.
- Comfort with dynamic nature of short-term PoC projects where requirements may evolve.
- A dynamic and collaborative work environment.
- Ongoing training and professional development opportunities.
- The chance to work on cutting-edge projects and contribute to shaping the future of AI.
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