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:
- 1012 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.
