Capital Numbers
Website:
capitalnumbers.com
Job details:
We are seeking a Lead AI Engineer who can combine deep technical expertise in Generative AI with strong consulting and client-facing capabilities.
This role involves working closely with clients to understand business challenges, design AI-driven solutions, and lead the architecture and solutioning of GenAI initiatives. You will play a critical role in pre-sales, solution design, and delivery alignment.
Roles & Responsibilities
- Lead client discovery sessions, requirement gathering, and business problem definition
- Translate business needs into AI/GenAI solution approaches and architectures
- Own solutioning, high-level design, and technical estimations
- Contribute to pre-sales activities, including proposals and Statement of Work (SoW)**
- Design and architect:
- LLM-based applications
- RAG (Retrieval-Augmented Generation) pipelines
- AI agents and intelligent automation solutions
- Develop and guide prompt engineering and orchestration strategies
- Work with LLM ecosystems such as OpenAI, Azure OpenAI, Anthropic, and open-source models
- Design scalable AI systems integrating APIs, enterprise platforms, and vector databases
- Collaborate with cross-functional teams (BA, Data Engineering, MLOps, Delivery) to define scope, timelines, and execution plans
- Lead technical discussions, solution walkthroughs, and client presentations
- Handle client queries, objections, and technical clarifications
- Ensure feasibility, scalability, and alignment with business goals
- Provide technical leadership and mentorship during implementation
- Stay updated with latest trends in GenAI, LLMs, and AI frameworks
Required Skills & Qualifications
- 8–12 years of experience in AI/ML, Data Science, or related fields
- Strong hands-on experience with:
- Generative AI / LLMs (GPT, Claude, etc.)
- RAG architectures and pipelines
- Prompt engineering and LLM orchestration frameworks (LangChain / LlamaIndex)
- Experience with:
- OpenAI / Azure OpenAI / Anthropic APIs
- Vector databases (Pinecone, FAISS, Weaviate, etc.)
- Strong understanding of:
- AI application architecture
- APIs, microservices, and enterprise integrations
- Proven experience in:
- Solutioning / pre-sales / technical consulting
- Client-facing roles and stakeholder management
- Excellent communication and presentation skills
Good to Have
- Experience with AI agents / autonomous workflows
- Exposure to cloud platforms (Azure / AWS / GCP)
- Understanding of MLOps, deployment, and scaling AI systems
- Background in consulting or IT services organizations
What We’re Looking For
- Strong consulting mindset with technical depth
- Ability to translate complex AI concepts into business value
- Comfortable working in client-facing, fast-paced environments
- High ownership with a problem-solving approach
Click on Apply to know more.