Technical Consultant - Artificial Intelligence/Cloud/SaaS

Customer Facing Technical Consultant.

(AI/Cloud/SaaS Focus).

Location: Remote- | Global (Time zone overlap required).

Who You Are:

You're a technically fluent consultant who thrives at the intersection of customer relationships, emerging tech, and solution development.

You're not necessarily a developer, but you understand software, cloud, AI/ML, and modern product development.

You can dive into a discovery call with a CFO, architect a solution with a product lead, explain LLM model differences to a CTO, and turn it all into a clear SOW.

You're naturally curious, sharp in communication, well versed in SaaS, cloud (AWS/GCP/Azure), AI/LLM ecosystems, and understand both the strategic and tactical layers of delivering technology solutions.

Key Responsibilities:

- Lead technical discovery sessions with customers and internal teams.

- Translate ambiguous business goals into structured solutions, process flows, and implementation plans.

- Draft Statements of Work (SOWs), including scope, effort estimation, timelines, and delivery methodology.

- Engage across CxO, product, and engineering levels to align stakeholders and articulate tradeoffs.

- Design and recommend solutions leveraging cloud platforms, SaaS best practices, and modern AI tools.

- Track AI ecosystem evolution: understand GenAI, LLMs (e.g, Mistral, Claude, Gemini, OpenAI), fine tuning vs. RAG, embeddings, etc.

- Define execution process and handoffs between discovery, delivery, and implementation.

- Build trust with clients as a technical thought partner, not just a delivery contact.

What You Bring:

- Experience in a customer facing technical role (Solution Architect, TAM, Consultant, Presales, Product, or Technical Program Manager).

- Exposure to AI/ML tools, foundational models, vector databases, agents, cloud native AI stack.

- Solid grasp of cloud platforms (GCP, Azure, and/or AWS) and architectural patterns.

- Ability to estimate work, outline delivery plans, and articulate tradeoffs in scope vs effort.

- Outstanding verbal and written communication skills comfortable with executive level presentations.

- Experience working with SaaS, APIs, microservices, integrations, Agile methodologies.

- Deep curiosity about tech trends, AI capabilities, and ability to quickly adapt to new tools.

- Not mandatory, but a plus: coding background, LLM development familiarity, or AI workflow building.

Nice to Have:

- Prior experience at a startup or fast-paced consulting environment.

- Experience working across multiple industries like finance, energy, SaaS, or analytics.

- Familiarity with RAG pipelines, fine-tuning, embeddings, LangChain, LlamaIndex, etc.

- Knows how to run technical workshops, client onboarding sessions, and prototype reviews.