Lead Gen AI Consultant

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we're deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way We're excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you'll have access to a multitude of exclusive technologist roles.

Join Andela today to access this opportunity and more in our global marketplace

Our roles are typically filled at lightning speed, so if you're considering applying, get your application in quickly

We are looking for a strategic and client-facing Lead Generative AI Engineer to join our freelance talent network. This network is comprised of senior, consultative individuals who partner with us on pre-sales activities, discovery sessions, and short-term proof-of-concept (PoC) projects, often lasting around six weeks with the potential to extend. As a Lead Consultant, you will be at the forefront of shaping and delivering high-impact GenAI solutions, taking ownership from conception to deployment for our clients. This role requires individuals who are established independent consultants, comfortable with short-notice, and open to fractional or project-based engagements.

Key Responsibilities:

- Solution Leadership: Engage directly with clients to understand their business challenges and lead the ideation and design of innovative Generative AI solutions.
- Technical Architecture: Translate client needs into actionable solution concepts, defining the architecture, data strategy, model selection, and tooling required for success.
- Project Ownership: Lead the 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 other 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 the key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
- Proposal Development: Collaborate with Andela's internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.

Qualifications:

- Proven experience leading technical teams and taking ownership of the design, development, and deployment of AI-driven solutions.
- Strong, client-facing communication skills with the ability to articulate complex technical concepts to both executive and technical stakeholders.
- Deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Claude, LLaMA), RAG architectures, vector databases, embeddings, and agentic systems.
- Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks (e.g., LangChain, LlamaIndex).
- Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker, Azure OpenAI, or Google Vertex AI.
- Prior experience in a consulting, pre-sales, or freelance capacity is strongly preferred, demonstrating an ability to work effectively with external clients.
- Comfort with the dynamic nature of short-term PoC projects where requirements may evolve.

Availability:

- 5 - 8 hours overlap with EST, according to client needs
- Immediate or up to 1-2 weeks notice
- Open to short-term projects such as discovery proposals and 6 weeks POCs

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