ai solutions architect

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.</p><p>Key Responsibilities</p><ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul><p>Why Join Us?</p><ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div> <div>Strong experience in AI, Machine Learning, and Applied Data Science
</div> <div>Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
</div> <div>Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
</div> <div>Solid understanding of MLOps, model lifecycle management, monitoring, and governance
</div> <div>Experience with Agentic AI architectures and end to end AI solution design
</div> <div>Knowledge of Responsible AI, data privacy, security, and compliance
</div> <div>Ability to rapidly build prototypes / PoCs and demonstrate business value
</div> <div>Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
</div> <div>Certifications preferred:
</div><div>o Azure AI Engineer
</div><div>o Azure Data Scientist
</div><div>o Equivalent AI / ML certifications</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Engage with customers to identify AI opportunities and translate business problems into scalable AI solutions
</li></ul><ul><li> Lead AI discovery workshops, advisory sessions, and Proof of Concepts
</li></ul><ul><li> Architect end to end AI / Agentic AI solutions including:
</li></ul><ul><li> Data ingestion
</li></ul><ul><li> Model development &amp; evaluation
</li></ul><ul><li> Deployment, monitoring, and governance
</li></ul><ul><li> Collaborate with Data Engineering, Cloud, Application Development, and Industry SMEs
</li></ul><ul><li> Provide AI thought leadership, best practices, and solution guidance
</li></ul><ul><li> Review AI solution architectures to ensure quality, scalability, and compliance
</li></ul><ul><li> Develop reusable AI assets, accelerators, and reference architectures
</li></ul><ul><li> Mentor and guide junior AI engineers and delivery teams
</li></ul><ul><li> Support AI capability scale up across manufacturing and cross industry portfolios</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Strong stakeholder management and customer engagement skills
</li></ul><ul><li> Ability to lead solution discussions with senior business and technology leaders
</li></ul><ul><li> Excellent communication, presentation, and storytelling skills
</li></ul><ul><li> Mentoring and technical leadership capabilities
</li></ul><ul><li> Problem solving mindset with rapid execution focus</li></ul><br>
<div><br>
</div><div>Base Salary Range: $100,000 - $150,000 per annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:</div><br>
<div><br>
<div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Westfield, NJ</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Domain Consultant</div>
</div><div><div><b>Job Id</b></div>
<div>406651</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI and Machine Learning

Carease Health

<div><p><b>AI Architect</b></p><p><b>
About Carease Health</b></p><p>
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p><b>
Compensation and Location</b></p><ul><li>Salary: $200,000 to $240,000 base</li><li>Performance-based bonus</li><li>Location: Lakewood, NJ and NYC</li><li>Hybrid preferred</li></ul><p><b>
How to Apply</b></p><p>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

NorthBay - Pakistan

<div>
 <strong>
  Role: Team Lead - Azure AI (Agentic) Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 Pakistan (hybrid work model)
 <br/>
 <br/>
 <strong>
  <strong>
   Client: Middle East (Government)
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 <strong>
  Azure AI Specialist (Team Lead)
 </strong>
 with deep expertise in building enterprise-grade
 <strong>
  Generative AI, RAG, and Agentic AI solutions
 </strong>
 on the Azure ecosystem.
 <br/>
 <br/>
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
  </li>
  <li>
   Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
  </li>
  <li>
   Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
  </li>
  <li>
   Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
  </li>
  <li>
   Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
  </li>
  <li>
   Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
  </li>
  <li>
   Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
  </li>
  <li>
   Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
  </li>
  <li>
   Design intelligent conversational systems with fallback handling and contextual memory
  </li>
  <li>
   Build and manage MLOps pipelines using Azure Machine Learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
  </li>
  <li>
   Proven expertise in building RAG pipelines using Azure AI Search
  </li>
  <li>
   Experience with vector databases and hybrid search architectures
  </li>
  <li>
   Practical experience in Agentic AI / multi-agent systems
  </li>
  <li>
   Hands-on with Azure AI Document Intelligence (Form Recognizer)
  </li>
  <li>
   Solid understanding of Knowledge Graphs and semantic modeling
  </li>
  <li>
   Expertise in prompt engineering &amp; LLM optimization techniques
  </li>
  <li>
   Experience with Prompt Flow (Azure AI Studio)
  </li>
  <li>
   Strong background in Python and cloud-native development
  </li>
  <li>
   Experience with Azure ML / MLOps pipelines
  </li>
  <li>
   Ability to design scalable and secure enterprise AI architectures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with LangChain, Semantic Kernel, or similar frameworks
  </li>
  <li>
   Exposure to multi-agent orchestration tools
  </li>
  <li>
   Prior experience working with enterprise clients or large-scale AI deployments
  </li>
 </ul>
</div>


Azure AI (Agentic) Specialist - Team Lead

VeeRteq Solutions Inc.

<div><p>We are seeking a high-caliber <b>AI Tech Lead / AI Engineer</b> to design, build, and operationalize agentic AI solutions that accelerate analytics and reporting delivery. This role goes beyond basic agent creation and requires hands-on experience with agent orchestration, memory, and enterprise-grade data access patterns, delivering scalable components that fit into an existing framework while rapidly adapting to incoming business requests.</p>
<p></p><p><b>Responsibilities: -</b></p>
<ul><li>Design, Architect, implement, and iterate on agentic AI solutions to shorten the cycle time for analytics, log analysis, and reporting requests.</li>
<li>Design agent orchestration patterns (multi-agent workflows), tool/function calling, and memory approaches appropriate for enterprise deployments.</li>
<li>Define secure and scalable data access patterns for agents (retrieval, context building, and grounding), integrating with existing data sources and governance expectations.</li>
<li>Partner closely with product, analytics, and engineering stakeholders to intake requirements quickly and deliver working prototypes and production-ready solutions.</li>
<li>Engineer reusable components and best practices that enable scalable delivery (not one-off scripts), aligned to an existing base framework.</li>
<li>Operationalize solutions for reliability and maintainability: testing strategies, monitoring/observability, prompt/version management, and deployment automation.</li>
<li>Evaluate build vs. buy options pragmatically when needed, while keeping focus on shipping solutions on the current platform stack.</li>
</ul><p></p><p><b>Tech Stack (Core): -</b></p>
<ul><li><b>Cloud:</b> AWS (primary deployment environment; open to alternatives)</li>
<li><b>Data/Analytics Platform:</b> Databricks (including native &quot;chat with data&quot; capabilities and potential agent integrations)</li>
<li><b>Agent Frameworks:</b> LangChain, LangGraph</li>
<li><b>Conversational analytics patterns:</b> Ask-questions-on-data / conversational BI approaches (agent-driven analytics and dashboards</li>
</ul><p></p><p><b>Experience: -</b></p>
<p>10+ Years</p>
<p></p><p><b>Location: -</b></p>
<p>Rosemont, IL (3days/Week)</p>
<p></p><p><b>Educational Qualifications: -</b></p>
<p>Engineering Degree BE/ME/BTech/MTech/BSc/MSc.</p>
<p>Technical certification in multiple technologies is desirable.</p>
<p><b>Skills: -</b></p>
<p><b>Mandatory skills</b></p>
<ul><li>Demonstrated experience delivering agentic AI solutions beyond prototypes, including enterprise deployment considerations.</li>
<li>Strong hands-on engineering background with AWS-based deployments.</li>
<li>Experience working with modern data platforms (e.g., Databricks) and integrating LLM solutions with analytics/data ecosystems.</li>
<li>Ability to operate as a senior individual contributor who can define architecture and implement key pieces end-to-end.</li>
</ul><p>Excellent communication and collaboration skills with US-based stakeholders</p>
<p><b>Skills &amp; Expertise Needed</b></p>
<ul><li><b>Agentic </b><b>AI engineering:</b> building and deploying LLM-powered agents for real business workflows.</li>
<li><b>Agent orchestration:</b> designing multi-step and/or multi-agent flows; managing tool use, control flow, retries, and failure handling.</li>
<li><b>Agent memory:</b> short-term and long-term memory patterns; conversation state; summarization and context window management.</li>
<li><b>Enterprise data access patterns for agents:</b> retrieval/grounding strategies; context assembly from structured and unstructured sources; performance-conscious access.</li>
<li><b>Production deployment mindset:</b> security, reliability, monitoring, and maintainability for enterprise-grade AI services.</li>
<li><b>Architecture &amp; best practices:</b> ability to design scalable components that fit into an existing framework and can be extended by the team.</li>
<li><b>Rapid requirements intake:</b> quickly translating ambiguous reporting/analytics asks into implementable solutions and iterating with stakeholders.</li>
<li><b>High autonomy:</b> tech-lead level capability without direct people management; self-directed and able to set engineering direction for the workstream</li>
</ul><p></p><p><b>Good-to-Have Skills</b></p>
<ul><li>Experience implementing retrieval-augmented generation (RAG) and hybrid retrieval across structured/unstructured sources.</li>
<li>Experience with LLMOps practices: prompt/version management, automated evaluation, and regression testing.</li>
<li>Experience building observability for AI systems (quality metrics, traces, latency/cost monitoring).</li>
<li>Familiarity with Databricks-specific agent or model serving patterns (where applicable).</li>
</ul><p>Experience building lightweight analytics experiences on top of agent outputs (e.g., auto-generated insights/dashboards).</p></div>

AI Tech Lead / AI Engineer

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 <br/>
 <br/>
 <strong>
  Position Overview:
 </strong>
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 <br/>
 <br/>
 KEY RESPONSIBILITIES:
 <br/>
 <br/>
 <ul>
  <li>
   Solution Selling:
  </li>
  <ul>
   <li>
    The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
   </li>
  </ul>
  <li>
   Strategic Leadership:
  </li>
  <ul>
   <li>
    Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
   </li>
   <li>
    Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
   </li>
  </ul>
  <li>
   Technical Expertise:
  </li>
  <ul>
   <li>
    Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
   </li>
   <li>
    Provide hands-on technical guidance to AI/ML teams during critical projects.
   </li>
   <li>
    Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
   </li>
  </ul>
  <li>
   Customer Engagement:
  </li>
  <ul>
   <li>
    Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
   </li>
   <li>
    Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
   </li>
  </ul>
  <li>
   Team Collaboration:
  </li>
  <ul>
   <li>
    Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
   </li>
   <li>
    Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
   </li>
   <li>
    Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 <br/>
 <br/>
 <ul>
  <li>
   Essential
  </li>
  <ul>
   <li>
    Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
   </li>
   <li>
    Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
   </li>
   <li>
    Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
   </li>
   <li>
    Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
   </li>
  </ul>
  <li>
   Highly Desirable
  </li>
  <ul>
   <li>
    Snowflake Experience: experience with the Snowflake AI/ML ecosystem
   </li>
   <li>
    Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
   </li>
   <li>
    ML Ops: Experience in ML Ops including feature stores, model registries, observability
   </li>
   <li>
    DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 <br/>
 <br/>
 <ul>
  <li>
   Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
  </li>
  <li>
   Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
  </li>
  <li>
   Customer-Centric: Deeply invested in understanding and addressing customer needs.
  </li>
  <li>
   Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
  </li>
  <li>
   Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
  </li>
  <li>
   Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
  </li>
  <li>
   Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
 </strong>
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
 <br/>
 <br/>
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 <br/>
 <br/>
 How do you want to make your impact?
 <br/>
 <br/>
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>


AI Specialist

Burgan Bank

<div>
 <p>
  <strong>
   <em>
    Position: Principal Technical Expert - AI Factory
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Group: Information Technology
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Primary Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Principal Technical Expert &ndash; AI Factory is a strategic leadership position responsible for establishing Artificial Intelligence as a core competitive capability within the Bank. Reporting to the IT General Manager through the IT Technology Factory structure, this role drives the vision, architecture, and execution of enterprise-wide AI initiatives while building and leading a world-class technical team. The position bridges innovation and operations, ensuring AI solutions deliver measurable business value while maintaining the highest standards for governance, security, and ethical compliance.
 </p>
 <p>
  The job holder must have solid skills, knowledge and understanding of artificial intelligence, machine learning, data science and emerging technologies, combined with expert-level strategic thinking and exceptional leadership capabilities. The role requires the ability to analyse complex technical challenges, architect scalable solutions, drive organizational transformation, and ensure implemented systems meet enterprise security, performance, and compliance benchmarks, while delivering value on time and within budget.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Roles &amp; Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Strategy, Planning &amp; Management
  </strong>
 </p>
 <p>
  <strong>
   <em>
    <u>
     AI Strategy &amp; Governance
    </u>
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Develop comprehensive AI strategy aligned with Bank's objectives and IT strategic roadmap
  </li>
  <li>
   Define governance frameworks, ethical guidelines, and risk management protocols for AI initiatives
  </li>
  <li>
   Establish AI policies on data usage, model validation, bias mitigation, and regulatory compliance
  </li>
  <li>
   Develop 3-year AI roadmap with clear milestones, KPIs, and resource requirements
  </li>
  <li>
   Manage budget allocation and resource optimization across AI Factory programs
  </li>
  <li>
   Track and report on AI program outcomes, ROI, and strategic impact to IT leadership
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Architecture &amp; Systems
  </strong>
 </p>
 <p>
  <em>
   <u>
   </u>
  </em>
  <strong>
   <em>
    <u>
     Architecture &amp; Infrastructure
    </u>
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Design and oversee enterprise AI architecture, platforms, and infrastructure aligned with IT standards
  </li>
  <li>
   Lead technical decisions on AI frameworks, tools, and technology stack
  </li>
  <li>
   Ensure scalability, performance, security, and reliability of AI systems across enterprise
  </li>
  <li>
   Establish best practices for model development, deployment, and monitoring
  </li>
  <li>
   Evaluate and integrate emerging AI technologies and methodologies
  </li>
  <li>
   Lead proof-of-concept projects and pilot programs to test new AI applications
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Team Building &amp; Leadership
  </strong>
 </p>
 <p>
  <strong>
   <em>
    <u>
     Talent Management
    </u>
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Recruit and attract top AI talent across multiple technical domains
  </li>
  <li>
   Build high-performing AI Factory teams with clear career progression paths
  </li>
  <li>
   Mentor and develop technical specialists and emerging technical leaders
  </li>
  <li>
   Evaluate performance and recommend developmental needs for team members
  </li>
  <li>
   Foster culture of continuous learning, innovation, and technical excellence
  </li>
  <li>
   Maintain and promote positive work culture and employee engagement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Management &amp; Communication
  </strong>
 </p>
 <p>
  <strong>
   Internal Interactions
  </strong>
 </p>
 <ul>
  <li>
   Serve as primary technical advisor to IT General Manager and steering committee on AI matters
  </li>
  <li>
   Build relationships with business unit leaders to identify high-impact AI use cases
  </li>
  <li>
   Communicate complex technical concepts to non-technical audiences across the Bank
  </li>
  <li>
   Champion AI adoption and drive organizational change management initiatives
  </li>
  <li>
   Participate in cross-functional committees and IT steering groups
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   External Representation
  </strong>
 </p>
 <ul>
  <li>
   Maintain collaboration with AI vendors, technology partners, and system integrators
  </li>
  <li>
   Build partnerships with academic institutions and AI thought leaders
  </li>
  <li>
   Represent the Bank at industry conferences, AI forums, and technology events
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Specifications
  </strong>
 </p>
 <p>
  <strong>
   <em>
    E
    <u>
     ducational Qualification(s)
    </u>
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree or equivalent in a related field
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Experience
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Minimum 10 years of experience required in AI or related field.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Language(s) known
   </u>
  </strong>
 </p>
 <ul>
  <li>
   English (Proficient)
  </li>
  <li>
   Arabic (Proficient)
  </li>
 </ul>
 <p>
 </p>
</div>


Principal Technical Expert - AI Factory

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