Lead Consultant AI and Data

At CoffeeBeans Consulting, we are a dynamic software consulting firm helping clients solve complex problems through innovative technology solutions. We're expanding our Data & AI practice and looking for a Lead Consultant – Data & AI to help us build and deliver high-impact data and AI projects for our clients.

Role Overview:

We're looking for a hands-on technical leader who combines deep expertise in AI/ML (traditional ML and GenAI) with strong skills in modern data engineering and architecture . This role is:

• Hands-on engineering and architecture, building and implementing solutions.
• Client-facing consulting, understanding business problems and translating them into technical solutions.
• Mentoring and guiding junior team members, fostering a high-performance team culture.

You will work closely with clients to design, build, and deliver impactful Data & AI solutions while establishing best practices and maintaining a high bar for technical quality.

Key Responsibilities:

Solution Design & Delivery

• Architect and implement end-to-end AI/ML solutions , including:
• Data pipelines and scalable data architectures.
• Traditional ML models and workflows.
• GenAI and agentic AI systems, including retrieval-augmented generation (RAG) and LLM-based applications.
• Ensure delivery of high-quality, scalable, and maintainable solutions aligned with client needs.
• Establish and advocate best practices for MLOps and data engineering workflows.

Consulting & Client Engagement

• Act as a trusted technical advisor for clients, shaping their Data & AI strategy and roadmaps.
• Translate business problems into technical solutions with clear articulation of value.
• Facilitate technical discussions and workshops with stakeholders to gather requirements and guide solutions.

Technical Leadership

• Lead by example, contributing hands-on to critical parts of projects.
• Set code and architectural standards for AI and data projects.
• Stay current with industry trends and advancements in AI/ML, GenAI, and data engineering.

Team Development

• Mentor and upskill junior engineers and data scientists within the team.
• Foster a collaborative, inclusive, and supportive team environment.
• Support the hiring and onboarding of new team members as we grow our Data & AI capability.

Key Requirements:

Experience:

• ~10–12 years in the software/technology industry.
• Minimum 5+ years of experience designing and building AI/ML solutions in production environments.
• Strong experience with data engineering and architecture in production systems.
• Experience working in consulting or client-facing delivery environments .

Technical Skills:

• Deep knowledge of traditional ML (classification, regression, NLP, computer vision) and GenAI (LLMs, embeddings, RAG, agentic AI workflows).
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain/LlamaIndex).
• Proficiency in Python (and/or R, Scala) for data and AI workloads.
• Experience with data engineering tools and orchestration frameworks (Spark, Databricks, Kafka, Airflow).
• Strong familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI and data solutions.
• Understanding of MLOps practices (CI/CD for ML, monitoring, model retraining pipelines).
• Experience with data modeling, data lakes, and data pipeline architecture .

Leadership & Mindset:

• Ability to lead and mentor technical teams in delivery environments.
• A consulting mindset with the ability to communicate effectively with technical and non-technical stakeholders.
• Empathetic leadership style, fostering trust and team growth.
• Comfortable in fast-paced, dynamic, client-facing environments.

Nice to Have:

• Experience with LLM fine-tuning and optimization.
• Strong hands-on experience with Databricks for scalable data and AI workloads.
• Exposure to agentic AI frameworks and advanced orchestration for LLM-powered workflows.
• Certifications in cloud or AI/ML specializations.
• Experience in growing Data & AI teams within a consulting environment.

Why Join Us?

• Opportunity to shape and expand our Data & AI practice from the ground up.
• Work with diverse clients to solve meaningful and challenging problems.
• Be part of a collaborative, people-first culture with a focus on growth and learning.

Competitive compensation and career advancement opportunities.