Artificial Intelligence Lead

Artificail Intelegence Global Company is seeking a highly experienced and technically grounded AI Lead to lead and support client engagements in the government, PIF and public sector. This role blends technical expertise in AI with consulting acumen and business development capabilities, driving strategic initiatives, identifying opportunities, and delivering value-driven solutions to government, PIF and public entities.

The ideal candidate will have 7+ years of experience with a solid background in AI, machine learning, and data platforms, while also being skilled at stakeholder engagement, pre-sales, proposal development, and client delivery. This role is pivotal in bridging technical possibilities with public sector needs to ensure effective transformation and value realization.

Roles & Responsibilities :

Client Engagement & Consulting:

Lead AI and data advisory engagements with public sector clients, understanding their mission objectives and aligning solutions accordingly.

Serve as a trusted advisor to senior government stakeholders, presenting technical concepts in business terms.

Conduct AI/ML and data maturity assessments, feasibility studies, and roadmap development.

Business Development:

Support proposal writing and RFI/RFP responses for government tenders.

Identify and cultivate opportunities for AI and data engagements within provincial and central government, PIF & public sectors.

Collaborate with sales teams and technical teams to tailor solutions that meet client needs and procurement requirements.

Solution Architecture & Delivery Oversight:

Oversee design and implementation of AI/ML and data solutions tailored for public sector contexts (e.g., compliance, privacy, scalability).

Guide data science and engineering teams in creating actionable models and platforms.

Leadership & Innovation:

Stay abreast of emerging AI technologies, regulatory changes, and government policy trends.

Contribute to Proof of Concepts (PoCs) and strategic AI frameworks for public sector transformation.

Education and Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. Master’s degree preferred.

Certifications in cloud platforms (e.g., AWS, Azure, GCP, Huawei, Oracle), AI/ML tools, and project management (e.g., PMP).

Familiarity with government procurement and compliance frameworks like SDAIA regulations and NDMO.

Experience

12+ years of experience in technology consulting and deployment projects, with a focus on AI, ML, and data, including Advanced Analytics, Business Intelligence (BI), Computer Vision, Natural Language Processing (NLP), Generative AI (GenAI), AI Agents, and other emerging AI technologies

Minimum 5 years of client-facing experience in a consulting or business development capacity.

Proven track record of engaging with government, PIF, and public sector clients.

Experience in developing proposals, responding to RFPs/RFIs, and managing technical presales cycles.

Background in delivering or overseeing the delivery of AI/ML use cases and projects, data analytics platforms, and data governance frameworks.

Competency

Strong grasp of AI/ML algorithms, data engineering, data architecture, and MLOps.

Familiarity with AI technologies and tools (e.g., TensorFlow, PyTorch, scikit-learn, Databricks).

Knowledge of cloud data platforms (e.g., Azure Synapse, AWS Sagemaker, GCP BigQuery).

Consulting & Business Development:Strong experience in client engagement, requirements gathering, solution scoping, and executive communication.

Ability to create winning proposals, present value propositions, and conduct strategic account planning.

Strategic thinker with a consultative mindset and problem-solving orientation.

Sector-Specific Knowledge:Understanding of public sector challenges such as data privacy, ethics, digital inclusion, and legacy modernization.

Familiarity with policy-driven AI development, regulatory compliance, and governance frameworks.

Excellent communication and interpersonal skills – able to influence both technical and non-technical stakeholders.

Leadership and mentoring skills – able to guide teams and junior consultants.

Strong organizational, analytical, and presentation abilities.

Willingness to travel as needed to client sites.

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