ai architect

datAvail

<div>Job Title: AI Architect
Location: Hyd/Mum/Bang
Exp Level: 15+
Education: Any Dgree
Job Summary:
<ul><li>Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients
</li><li>Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering.
</li><li>Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies.
</li><li>Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security.
</li><li>Develop and enforce best practices for model governance, MLOps, and responsible AI.
</li><li>Evaluate and integrate third-party AI services and APIs when needed.
</li><li>Drive innovation by staying current with AI trends and emerging technologies (e.g., LLMs, edge AI).
</li><li>Required Qualifications:
</li><li>Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.
</li><li>7+ years of experience in software development, with at least 3 years in AI/ML architecture roles.
</li><li>Strong proficiency in machine learning, deep learning, data engineering, and distributed systems.
</li><li>Experience with Google cloud-based AI platforms such as Google Vertex AI.
</li><li>Proficiency in Python and experience with ML libraries.
</li><li>Solid understanding of AI data governance, model explainability, and ethical AI principles.
</li><li>Excellent communication skills to work with both technical and non-technical stakeholders.
</li><li>Demonstrated experience delivering scalable AI projects that drive business value.
</li><li>Preferred Skills:
</li><li>Experience deploying generative AI models and LLMs leveraging RAG models (e.g., GPT, Google, Claude, open-source models).
</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML.
</li><li>Knowledge of NLP, computer vision, or reinforcement learning.
</li><li>Hands-on development and support of AI solutions.
</li><li>Solid client communication skills.</li></ul></div>

AI Architect

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
We seek a visionary AI Architect to pioneer next-generation AI solutions integrating Generative AI , Agentic AI architectures , and collaborative Agentic Mesh ecosystems . This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact
Key Responsibilities
1. Advanced Architecture Design
<ul><li>Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
</li><li>Architect Agentic AI frameworks using LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
</li><li>Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities
</li></ul>2. Model Optimization &amp; Innovation
<ul><li>Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
</li><li>Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
</li><li>Lead R&amp;D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems
</li></ul>3. Strategic team player
<ul><li>Work with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
</li>Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation 
<li>
</li></ul> 
Who You Are
Required Qualifications (Must have)
Education
<ul><li>PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)
</li></ul>Technical Expertise
<ul><li>7+ years building production-grade AI systems using:
</li><li>Generative AI : PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
</li><li>Agentic AI : Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
</li><li>LLM/SLM Optimization : LoRA, QLoRA, and RLHF techniques
</li><li>Proven ability to design multi-agent systems with emergent collaboration capabilities
</li></ul>Cognitive &amp; Professional Traits
<ul><li>Lateral thinker with patents/publications in ICML, NeurIPS, or AAAI demonstrating unconventional problem-solving
</li><li>Portfolio of projects showcasing 10x efficiency gains through AI-driven process reinvention
</li><li>Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles)
</li></ul>Preferred Qualifications (Good To Have)
<ul><li>Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face)
</li><li>Experience with neuromorphic computing or quantum machine learning integration.
</li><li>Advisory roles in AI policy committees or standardization bodies.
</li></ul>What We Offer
<ul><li>Lead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy .
</li><li>Large base of diverse customers and real world usecases to solve
</li></ul>Apply with:
<ul><li>Technical whitepaper demonstrating original thinking in AI architecture
</li><li>GitHub repository showcasing complex system designs
</li><li>Doctoral thesis abstract (if applicable)
</li></ul>Shape the future of autonomous intelligence systems. Challenge accepted?
#AgenticAI 
 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Lead AI Architect

CoinFantasy

AI ARCHITECTAs an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.Key Responsibilities<ul><li>AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.</li><li>Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).</li><li>Cloud &amp; Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.</li><li>Optimization &amp; Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).</li><li>Innovation &amp; R&amp;D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.</li><li>System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.</li><li>Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.</li><li>Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).</li><li>Strong background in autonomous agents, multi-agent systems, and AI optimization.</li><li>Experience with LangChain, AutoGPT, or similar frameworks is a plus.</li><li>Ability to translate research into production-ready architectures.</li><li>Excellent communication and leadership skills.</li></ul>About UsCoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!Website:Benefits<ul><li>Competitive salary and performance incentives.</li><li>Be part of the Core Team in a fast-growing, innovative company.</li><li>Fulfilling &amp; challenging work with real impact on the product.</li><li>Unlimited growth opportunities &ndash; professionally and personally.</li></ul>Job Type: Full-timePay: &#8377;2,000,000.00 - &#8377;3,500,000.00 per yearBenefits:<ul><li>Leave encashment</li></ul>Work Location: In person

Generative AI Architect

Genpact

<div>
 
 
 
 Ready to shape the future of work?
 
 
 
 
 
 
 
 At Genpact, we don&rsquo;t just adapt to change&mdash;we drive it. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s
 
 AI Gigafactory
 
 , our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to
 
 agentic AI
 
 , our breakthrough solutions tackle companies&rsquo; most complex challenges.
 
 
 
 
 If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquo;s shaping the future, this is your moment.
 
 
 
 
 Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation
 
 
 
 ,
 
 
 
 our teams implement
 
 
 
 
 
 
 data, technology, and AI to create tomorrow, today. Get to know us at
 
 genpact.com
 
 and on
 
 LinkedIn
 
 ,
 
 X
 
 ,
 
 YouTube
 
 , and
 
 Facebook
 
 .
 
 
 
 
 
 
 
 
 
 Inviting applications for the role of
 
 Assistant Vice President-AI Architect/Solution Architect!
 
 
 
 
 
 
 
 
 
 
 Position Overview:
 
 
 
 We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies.
 </li>
 <li>
 Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies.
 </li>
 <li>
 Develop and drive technology roadmaps aligned with business objectives and innovation priorities.
 </li>
 <li>
 Represent the organization at industry forums, executive briefings, and key customer engagements.
 </li>
 <li>
 Partner with product, engineering, data, and business teams to translate vision into executable initiatives.
 </li>
 <li>
 Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives.
 </li>
 <li>
 Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers.
 </li>
 <li>
 Lead enterprise education on AI ethics, governance, and responsible AI deployment.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 Minimum Qualifications
 
 
 
 Education:
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.
 </li>
 <li>
 MBA or Executive Education from a reputed institution is a plus.
 </li>
 <li>
 Experience:
 </li>
 <li>
 Strong Technologist with a background in End to End Solutioning/Architecting experience.
 </li>
 <li>
 Experience in executive-level advisory roles, engaging with C-suite stakeholders.
 </li>
 <li>
 Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI.
 </li>
 <li>
 Experience driving enterprise-scale digital transformation and innovation initiatives.
 </li>
 <li>
 Proven track record of building and leading high-performance teams in fast-paced environments.
 </li>
 </ul>
 
 
 
 
 
 Primary Skills (Must-Have):
 
 
 <ul>
 <li>
 Executive presence and exceptional communication skills for C-level conversations.
 </li>
 <li>
 Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops.
 </li>
 <li>
 Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare.
 </li>
 <li>
 Strategic thinking and ability to articulate AI&rsquo;s business impact in boardroom settings.
 </li>
 <li>
 Strong understanding of AI governance, ethics, risk management, and compliance.
 </li>
 <li>
 Experience in designing AI-enabled enterprise architectures and data strategies.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 Secondary Skills (Good-to-Have):
 
 <ul>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered.
 </li>
 <li>
 Understanding of data platforms, APIs, integration strategies, and agent-based architectures.
 </li>
 <li>
 Knowledge of modern software engineering practices (microservices, APIs, DevOps).
 </li>
 <li>
 Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.).
 </li>
 <li>
 Public speaking experience at conferences, webinars, or industry forums.
 </li>
 <li>
 MBA or Executive Education from a reputed institution is a plus.
 </li>
 </ul>
 
 Leadership &amp; Personal Attributes:
 
 <ul>
 <li>
 Visionary thinker with a passion for emerging technologies.
 </li>
 <li>
 Influential leader with ability to inspire both technical and non-technical audiences.
 </li>
 <li>
 High emotional intelligence, with ability to build trust at all organizational levels.
 </li>
 <li>
 Strong executive storytelling capabilities &mdash; turning complex technology into compelling narratives.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Why join Genpact?
 
 
 
 
 
 <ul>
 <li>
 
 
 Be a transformation leader
 
 
 
 &ndash; Work at the cutting edge of AI, automation, and digital innovation
 
 </li>
 <li>
 
 
 Make an impact
 
 
 
 &ndash; Drive change for global enterprises and solve business challenges that matter
 
 </li>
 <li>
 
 
 Accelerate your career
 
 
 
 &ndash; Get hands-on experience, mentorship, and continuous learning opportunities
 
 </li>
 <li>
 
 
 Work with the best
 
 
 
 &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
 
 </li>
 <li>
 
 
 Thrive in a values-driven culture
 
 
 
 &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
 
 </li>
 </ul>
 
 
 
 
 
 Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
 
 
 
 
 Let&rsquo;s build tomorrow together.
 
 
 
 
 
 
 
 
 Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
 
 
 
 
 Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
 
 
</div>

Assistant Vice President - AI Architect/Solution Architect

TAWANTECH

<div>Role Overview:<ul>
<li>Provide AI strategy consulting for enterprises and government sectors.
</li><li>Build and lead AI Centers of Excellence (AI Factories).
</li><li>Support organizations in AI strategy implementation and deployment services.
</li><li>Conduct AI readiness assessments and maturity evaluations to identify gaps and opportunities.
</li><li>Collaborate with stakeholders to design scalable AI architectures aligned with business objectives.
</li><li>Guide clients on the adoption of emerging AI technologies and frameworks.
</li></ul>Key Responsibilities:<ul>
<li>Define and implement enterprise-level AI strategies.
</li><li>Architect end-to-end AI solutions across multiple domains (ML, NLP, Computer Vision, etc.).
</li><li>Assess AI maturity and deliver tailored roadmaps for digital transformation.
</li><li>Develop governance frameworks and best practices for AI adoption.
</li><li>Partner with business leaders to ensure AI solutions meet performance, security, and compliance standards.
</li><li>Provide technical leadership and mentorship for AI implementation teams.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
</li><li>7+ years of experience in architecture, strategic planning, and AI consultancy.
</li><li>Strong expertise in AI technologies, including:
</li><li><ul><li>Machine Learning (ML)
</li><li>Natural Language Processing (NLP)
</li><li>Deep Learning
</li><li>Robotic Process Automation (RPA)
</li><li>Computer Vision
</li><li>Generative AI &amp; Agentic AI
</li><li>OSINT &amp; GEOINT applications
</li></ul></li><li>Proven track record in designing and deploying enterprise-scale AI solutions.
</li><li>Strong business acumen with the ability to bridge the gap between technical and executive stakeholders.
</li><li>Excellent communication, presentation, and client-facing skills.
</li></ul>Preferred:<ul>
<li>Master&rsquo;s degree in AI, Data Science, or a related advanced field.
</li><li>AI-related certifications (e.g., AWS AI/ML Specialty, Google Cloud ML, Microsoft AI Engineer).
</li><li>Experience in regulated industries (healthcare, finance, government).</li></ul></div>

AI Consultant & Architect

Sublime Wireless Inc

Job Title: AI Architect &ndash; Software &amp; Data Engineering, LLM/RAG SpecialistLocation: Hybrid (3 days onsite / 2 days remote -Karachi or Islamabad)Type: Full&#8209;timeAbout the RoleWe are looking for a hands-on AI Architect who bridges software development, data engineering, and advanced AI/ML. You will design and code AI solutions that leverage large language models, embeddings and retrieval&#8209;augmented generation while ensuring robust data pipelines and integration with our software products. This role requires a strong foundation in software engineering and data engineering along with deep expertise in AI/ML.Key Responsibilities1. Cross&#8209;Disciplinary Solution Design&#9675; Engage with stakeholders to understand product requirements and architectend&#8209;to&#8209;end solutions incorporating data ingestion, model training, deploymentand monitoring.&#9675; Design systems that combine traditional software components with AI/ML modelsand modern data engineering practices.2. Hands&#8209;On Development&#9675; Write and maintain production&#8209;quality code across back&#8209;end services, datapipelines and model inference layers, primarily using Python and at least oneother language (e.g. .Net, Java).&#9675; Build RESTful or gRPC APIs to expose AI functionality and integrate withfront&#8209;end and other microservices.3. Data Engineering &amp; Pipeline Construction&#9675; Develop and manage data pipelines for ingestion, transformation and storage(using tools such as Apache Spark, Kafka, Airflow, SQL/NoSQL databases).&#9675; Work with vector databases and embedding stores for retrieval&#8209;augmentedsystems.&#9675; Ensure data quality, schema management and robust ETL processes thatsupport model training and inference.4. Advanced AI/ML &amp; LLM Expertise&#9675; Train, fine&#8209;tune and deploy machine&#8209;learning and deep&#8209;learning models,including large language models (LLMs) and transformer architectures (e.g.,GPT, Llama, Mistral).&#9675; Implement embedding techniques (e.g., sentence and document embeddings),retrieval&#8209;augmented generation (RAG) pipelines and hybrid search (vector +keyword).&#9675; Build customised pipelines using frameworks like LangChain, LLamaIndex orsimilar to integrate models with diverse data sources.5. System Optimisation &amp; Scalability&#9675; Optimise model performance (latency, throughput and accuracy) for productionworkloads, using techniques such as model quantisation, batching and caching.&#9675; Scale services using containerisation (Docker) and orchestration (Kubernetes) oncloud platforms (AWS, Azure, GCP).6. Collaboration &amp; Mentorship&#9675; Collaborate with software engineers, data scientists and DevOps teams to delivercohesive solutions.&#9675; Mentor junior engineers and share best practices in software development, dataengineering and AI/ML.7. Monitoring &amp; Maintenance&#9675; Implement observability for data pipelines and AI services (logging, metrics,model drift detection).&#9675; Continuously monitor and iterate models and pipelines based on feedback andnew data.Required Skills &amp; Qualifications&#9679; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, ArtificialIntelligence or related field.&#9679; Experience: Minimum 6&ndash;8 years in software development and data engineering, with atleast 3 years of hands&#8209;on AI/ML experience.&#9679; Proficiency in Python and deep familiarity with AI/ML frameworks (e.g., PyTorch,TensorFlow, Scikit&#8209;learn) and LLM libraries (e.g., Hugging Face Transformers,LangChain).&#9679; Hands&#8209;on experience building and deploying large language models, embeddings, RAGpipelines and vector&#8209;database&#8209;powered applications.&#9679; Strong knowledge of data engineering tools (Spark, Kafka, Airflow), relational andNoSQL databases, and proficiency in SQL.&#9679; Experience designing and operating microservices, APIs and containerised applicationson cloud platforms.&#9679; Solid understanding of MLOps best practices (CI/CD for ML, model versioning,automated testing, monitoring).&#9679; Strong problem&#8209;solving and communication skills; ability to translate businessrequirements into technical designs.Preferred Qualifications&#9679; Experience with GPU orchestration (NVIDIA Triton, KServe) for model serving.&#9679; Knowledge of privacy&#8209;preserving techniques and responsible AI practices.&#9679; Exposure to reinforcement learning or recommendation systems.What We Offer&#9679; The chance to work on cutting&#8209;edge AI projects integrating software, data and advancedmodels.&#9679; A collaborative environment where hands&#8209;on coding and architectural leadership gohand in hand.&#9679; Support for ongoing learning and professional development in AI/ML and dataengineering.&#9679; Health Insurance&#9679; Gadget AllowanceJob Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthWork Location: In person

AI Architect – Software & Data Engineering, LLM/RAG Specialist

Capgemini

<div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div><ul><li>Design and implement generative AI solutions using AWS services such as Amazon Bedrock, SageMaker, Lambda, and Step Functions.
</li><li>Fine-tune and deploy large language models (LLMs) for specific business use cases.
</li><li>Develop and optimize prompt engineering strategies for various foundation models (e.g., Anthropic Claude, Mistral, Meta Llama, Amazon Titan).
</li><li>Build scalable, secure, and cost-effective ML pipelines and APIs.
</li><li>Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications.
</li><li>Monitor and evaluate model performance, ensuring fairness, accuracy, and compliance
</li></ul><ul><li>Stay updated with the latest trends in generative AI and AWS technologies . 
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Your Profile
</h2></div><div><ul><li>3+ years of experience in machine learning or AI engineering.
</li><li>Strong hands-on experience with AWS AI/ML stack (SageMaker, Bedrock, Comprehend, etc.).
</li><li>Proficiency in Python, PyTorch or TensorFlow, and API development.
</li><li>Experience with LLMs, transformers, and embedding models.
</li><li>Familiarity with prompt engineering and RAG (Retrieval-Augmented Generation) architectures.
</li>Strong understanding of cloud security, scalability, and DevOps practices 
<li>
</li></ul></div></div><div><div><h2 class="jobSectionHeader">What you'll love about working here
</h2></div><div><ul><li>You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
</li><li>You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
</li><li>You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications
</li></ul></div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div>

AWS Gen AI- Architect

Search 7100+ Ai architect jobs near you this September. New roles added regularly across leading industries. Apply today.