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ai engineer

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

AI Engineer

BRAIN

<div>About Brain Co.
Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li><li>
Raised a $30M Series A from top investors</li><li>
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
About The Role
As an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
In This Role, You Will:<ul><li>
Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.</li><li>
Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.</li><li>
Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.</li><li>
Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.</li><li>
Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li></ul>
You Might Thrive In This Role If You:<ul><li>
Are eager to travel to customer locations globally for 6+ months and work directly with SMEs and end-users</li><li>
Minimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero</li><li>
Experience with front-end and back-end technologies, microservices, and cloud platforms</li><li>
Experience with modern web tooling such as React, Typescript, RESTful APIs, and database management systems</li><li>
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges</li><li>
Enjoys working collaboratively with cross-functional teams</li><li>
Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>
Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done</li></ul>
Nice to Have:<ul><li>
Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer)</li><li>
Knowledge of Arabic or other regional languages is a plus.</li><li>
Possess a strong foundation in software design principles, data structures, and algorithms</li><li>
Hold a Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Software Engineering, or a related field</li></ul>
Benefits<ul><li>
Competitive salary plus equity</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental and Vision</li><li>
Unlimited PTO</li></ul>
Why Join Us<ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul>
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.</div>

AI Product Engineer, Deployed

<div>About Brain Co.
Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li><li>
Raised a $30M Series A from top investors</li><li>
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.<h2 class="jobSectionHeader"> 
About The Role</h2>
As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.<h2 class="jobSectionHeader"> 
In This Role, You Will:</h2><ul><li>
Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.</li><li>
Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.</li><li>
Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li><li>
Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.</li><li>
Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.</li></ul><h2 class="jobSectionHeader"> 
You Might Thrive In This Role If You:</h2><ul><li>
Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.</li><li>
Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.</li><li>
Have at least a high level familiarity with the architecture and operation of large language models.</li><li>
Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.</li><li>
Possess a strong foundation in data structures, algorithms, and software engineering principles.</li><li>
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.</li><li>
Can work collaboratively with cross-functional teams.</li><li>
Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>
Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental and Vision</li><li>
Unlimited PTO</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2><ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul>
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
This is a hybrid role that can be based in either our Abu Dhabi or Doha office</div>

AI/ML Engineer, Deployed

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul>
<li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li>
<li>GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li>
<li>Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li>
<li>Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li>
<li>DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li>
<li>Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li>
<li>Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
The key requirements for this role are:<ul>
<li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li>
<li>Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li>
<li>Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li>
<li>Advanced coding skills in Python and JavaScript/TypeScript.</li>
<li>Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li>
</ul>
You should also have the following:<ul>
<li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li>
<li>A minimum of 5+ years in professional software development.</li>
<li>Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li>
<li>Advanced knowledge of banking operations, terminologies, and financial services products.</li>
</ul>
It would be preferable if you also have:<ul>
<li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li>
<li>Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li>
<li>The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li>
<li>The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul>
<li>
Competitive salary.</li>
<li>Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Career advancement opportunities in a rapidly growing AI company.</li>
</ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Backend Engineer

noon

<div>
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is simple yet bold: Every door, every day.
 
 
 
 
 
 
 About the Role
 
 
 
 As an SDE-2 in the
 
 Vector
 
 squad at
 
 Everyday Labs
 
 , you will join a high-leverage engineering initiative designed to architect and deploy advanced technical solutions for the company&rsquo;s most critical challenges. Vector serves as the bridge between raw AI capability and practical engineering execution. We utilize internal foundational AI infrastructure, specifically
 
 Model Context Protocol (MCP)
 
 and
 
 LLM integration layers, to build
 
 applications and engineering tools that drive massive operational impact. Whether it&rsquo;s an AI-driven Talent Mapping Engine or a custom Application Tracking System, Vector focuses on turning cutting-edge tech into high-reliability products.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Architect High-Impact Applications:
 
 Lead the engineering effort for key products such as our AI-driven Talent Mapping Engine (Vertex AI), "NoonLaundry," and sophisticated internal App integrations using OpenAI&rsquo;s SDK.
 </li>
 <li>
 
 Operational Excellence:
 
 Build and scale engineering tools that solve internal bottlenecks, ensuring that AI-native experiences are grounded in practical, high-performance code.
 </li>
 <li>
 
 Professional Ownership:
 
 Take full ownership of service reliability, correctness, and architecture, applying SDE-2 standards to ensure systems are robust and maintainable.
 </li>
 <li>
 
 AI Implementation:
 
 Work with domain experts to refine how we evaluate LLM outputs and improve response quality over time within our production environments.
 </li>
 <li>
 
 Collaborative Engineering:
 
 Partner with internal infrastructure teams to influence the development of our Model Context Protocol (MCP) layers.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 
 Professional Depth:
 
 5+ years of impactful experience as a Software Development Engineer, specifically building and maintaining
 
 large-scale services
 
 .
 </li>
 <li>
 
 Python Expertise:
 
 Deep, professional-level experience with
 
 Python
 
 . You are expected to write clean, idiomatic, and performance-oriented code.
 </li>
 <li>
 
 Reliability Mindset:
 
 A strong focus on correctness and reliability. You have a track record of building services that handle production loads gracefully and are easy to monitor and debug.
 </li>
 <li>
 
 User-Centric Impact:
 
 A mindset that prioritizes real-world impact. You understand that the best code is the code that solves a significant problem for the user or the business.
 </li>
 <li>
 
 Technical Maturity:
 
 You bring the discipline of a seasoned engineer valuing documentation, unit testing, and architectural clarity.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 
 AI System Integration:
 
 Previous experience integrating with AI/ML ecosystems (e.g., Vertex AI, OpenAI).
 </li>
 </ul>
 
 
 
 
 
 MCP Knowledge:
 
 Familiarity with the
 
 Model Context Protocol (MCP)
 
 for connecting LLMs to external data and tools.
 
 
 
</div>

Software Development Engineer 2 "Backend"

Actlocal

About the RoleWe are hiring a full time AI Specialist to support our marketing company by developing and implementing AI driven solutions that enhance admin workflow, improve finance management, and automate marketing workflows. This role is ideal for someone who understands both artificial intelligence and real world marketing needs.You will work closely with marketing, creative, and strategy teams to apply AI across multiple marketing channels and client projects.Key Responsibilities<ul><li>Develop and implement AI driven solutions to streamline administrative workflows and internal operations</li><li>Design AI systems that support financial management, reporting, forecasting, and process automation</li><li>Automate marketing workflows including content production, campaign management, reporting, and optimization</li><li>Integrate AI tools with internal systems such as CRM, finance software, project management, and marketing platforms</li><li>Identify operational bottlenecks across admin, finance, and marketing teams and apply AI solutions to improve efficiency</li><li>Monitor, optimize, and maintain AI workflows to ensure accuracy, reliability, and performance</li><li>Collaborate with leadership and department heads to align AI initiatives with business goals</li><li>Ensure secure, ethical, and compliant use of AI technologies and data</li></ul>Required Qualifications<ul><li>Proven experience applying AI or machine learning in marketing, advertising, or business environments</li><li>Familiarity with AI platforms, large language models, and automation tools</li><li>Ability to translate business goals into AI driven solutions</li><li>Strong analytical thinking, communication, and problem solving skills</li></ul>What We Offer<ul><li>Full time stable role with long term growth potential</li><li>Competitive salary based on experience</li><li>Opportunity to work on cutting edge AI applications in marketing</li><li>Flexible work environment</li><li>Collaborative and innovative team culture</li></ul>How to Apply Send your resume and a short summary of your experience with AI in marketing, including any relevant projects or tools you have used. Please send the CV to +971588995545Job Type: Full-timePay: AED5,000.00 - AED7,000.00 per month

AI Specialist, Marketing Companies

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

AI Architect – GenAI, LLMs & AI Agents

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