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.