Lead Consultant AI and Data

Lead Consultant Data & AI

Role Overview:

hands-on technical leader

• 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.