ai architect

Oracle

<div><p><b>Qualifications &amp; Experience
</b></p><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><p></p>
<br><div><p><b>Key Responsibilities
</b></p><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.<br>
<li>
</li></ul><div></div><p><b>Core Competencies &amp; Technical Expertise
</b></p><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

CoinFantasy

<p><b>AI ARCHITECT</b></p><p>As 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.</p><p><b>Key Responsibilities</b></p><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><p><b>Required Skills &amp; Qualifications</b></p><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><p><b>About Us</b></p><p>CoinFantasy 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.</p><p>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!</p><p>Website:</p><p><b>Benefits</b></p><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><p>Job Type: Full-time</p><p>Pay: ₹2,000,000.00 - ₹3,500,000.00 per year</p><p>Benefits:</p><ul><li>Leave encashment</li></ul><p>Ability to commute/relocate:</p><ul><li>Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>How many years of  experience do you have working in projects related to Agentic AI, Generative AI?</li></ul><p>Location:</p><ul><li>Chennai, Tamil Nadu (Required)</li></ul><p>Work Location: In person</p>

Generative AI Architect

10Pearls

<div><p>Company Overview</p><p>
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.</p><p>
Role</p><p>
As an AI Architect in the oil and gas sector, you will design, implement, and oversee AI systems that enhance operational efficiency, optimize production, and drive innovation. Your role focuses on defining the architecture for AI and machine learning solutions, ensuring scalability, reliability, and alignment with business objectives.</p><p>
Responsibilities</p><ul><li><p>
Define the AI strategy and architecture to address business needs across exploration, production, and operational domains.</p></li><li><p>
Develop roadmaps for integrating AI into existing systems, focusing on scalability and long-term sustainability.</p></li><li><p>
Identify and prioritize AI use cases, such as predictive maintenance, reservoir modelling, and supply chain optimization.</p></li><li><p>
Design end-to-end architectures for machine learning pipelines, including data ingestion, model development, training, and deployment.</p></li><li><p>
Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models.</p></li><li><p>
Implement AI explainability frameworks such as SHAP, LIME, and Explainable AI (XAI) to enhance transparency.</p></li><li><p>
Develop human-in-the-loop (HITL) AI systems for critical decision support in exploration and production.</p></li><li><p>
Design AI models with bias detection and fairness auditing mechanisms.</p></li><li><p>
Automate cloud-based AI model provisioning using infrastructure as code (IaC) principles.</p></li><li><p>
Select appropriate frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) for AI development.</p></li><li><p>
Build scalable solutions using cloud platforms like AWS, Azure, or Google Cloud, leveraging tools such as Kubernetes and Docker for containerization.</p></li><li><p>
Establish data standards, pipelines, and governance policies to ensure high-quality input for AI models.</p></li><li><p>
Implement monitoring systems to track performance, retrain models as necessary, and maintain accuracy over time.</p></li><li><p>
Develop strategies to address bias, fairness, and ethical considerations in AI systems.</p></li><li><p>
Design AI solutions that integrate seamlessly with existing oil and gas technologies, such as SCADA systems, IoT sensors, and geophysical modelling tools.</p></li><li><p>
Develop AI models tailored to specific oil and gas applications, such as seismic data analysis, drilling optimisation, and production forecasting.</p></li><li><p>
Enable real-time analytics and decision support through edge computing and AI-enabled IoT systems.</p></li><li><p>
Stay current with the latest advancements in AI and recommend technologies that align with business objectives.</p></li><li><p>
Collaborate with data scientists, engineers, and business leaders to align technical solutions with operational goals.</p></li><li><p>
Guide teams in best practices for AI development, deployment, and maintenance.</p></li><li><p>
Ensure all AI systems comply with industry regulations and data privacy standards.</p></li><li><p>
Implement robust cybersecurity measures to protect sensitive data and AI systems from threats.</p></li><li><p>
Document architectures, workflows, and operational guidelines for transparency and compliance audits.</p></li></ul><p>
Requirements</p><ul><li><p>
Knowledge of deep learning, natural language processing, computer vision, and reinforcement learning techniques.</p></li><li><p>
Expertise in AWS, Azure, or Google Cloud for deploying AI solutions.</p></li><li><p>
Strong ability to work with multidisciplinary teams, including engineers, data scientists, and business stakeholders.</p></li><li><p>
Excellent ability to translate complex technical concepts into actionable business strategies.</p></li><li><p>
Design AI solutions to reduce downtime, optimise drilling accuracy, and improve production yields.</p></li><li><p>
Leverage tools such as Kubeflow, MLflow, and SageMaker Pipelines for end-to-end ML lifecycle management.</p></li><li><p>
Implement predictive analytics to prevent equipment failures and optimise resource allocation.</p></li><li><p>
Enable advanced applications like digital twins, automated geophysical analysis, and AI-driven reservoir modelling.</p></li><li><p>
Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).</p></li><li><p>
8+ years of experience in AI/ML development, with at least 3 years in an architecture or leadership role.</p></li><li><p>
Strong understanding of oil and gas industry workflows and challenges.</p></li><li><p>
Expertise in AI/ML frameworks and big data technologies.</p></li><li><p>
Practical experience with a statistical programming language (e.g., Python, R) and applied machine learning techniques for AI model development.</p></li></ul><p></p><p>
</p><p>EH8cPOOutM</p></div>

Capgemini

<div><div><div><p>Hyderabad</p><div>
Agentic AI Architect</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
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.</p><div><div><div><div><b>
Your Role</b></div></div><div><ul><li>
As an Agentic AI Architect &ndash;Procurement, Demand planning and SCM, you will lead the design and implementation of enterprise-grade AI-driven architectures that enable intelligent, autonomous workflows across the Microsoft ecosystem.</li><li>
This role focuses on creating scalable, secure, and compliant AI solutions that leverage Microsoft Azure AI foundry, and data bricks driving digital transformation through Agentic AI capabilities.</li><li>
You will lead the design and implementation of enterprise-grade AI-driven architectures that enable intelligent, autonomous workflows across the Azure ecosystem.</li><li>
This role focuses on creating scalable, secure, and compliant AI solutions that leverage Azure, Azure AI services, and Lang chain, Lang graph, data bricks ,MosicAI, driving digital transformation through Agentic AI capabilities.</li></ul></div></div><div><div><div><b>
Your Profile</b></div></div><div><ul><li>
Primary Skills: Agentic AI Architect, MS AI Foundry Solutions Architect, Azure AI Architect, Databricks Architect, Enterprise AI Integration Architectm Responsible AI Architect, LangChain, LangGraph, Crew AI AI Architect</li><li>
Deep expertise in Azure AI foundry, Databricks ,snowflake, Data pipeline,autonomous AI agent technologies&mdash;such as LangGraph, CrewAI, or AutoGen.</li><li>
Strong knowledge of cloud-native architecture and multi-cloud integration.</li><li>
Experience with Responsible AI frameworks, bias detection, and compliance.</li><li>
Ability to design agentic workflows and integrate AI into enterprise systems.</li><li>
Excellent stakeholder management and solution advisory skills.</li><li>
Knowledge of Databricks, snowflake, Microsoft Fabric, Synapse, and data analytics workflows.</li><li>
Hands on experience in Gen ai workflows, Agentic Workflows,Tool Calling and Multi-Agent Orchestration.</li><li>
Domain Expertise in Procurement, Demand planning and SCM</li></ul></div></div><div><div><div><b>
What you 'love about working here</b></div></div><div><ul><li>
You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group.</li><li>
You will also get personalized career guidance from our leaders.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>
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
</li></ul></div></div></div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli.Make it real | www.capgemini.com/in-en.Capgemini &ndash; home page &ndash; Make it realA global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
</p></div></div><div><div><div><div><div>Ref. code</div><div>
304589-en_GB</div></div><div><div>
Posted on</div><div>
07 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Business Services</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Architecture</div></div></div></div></div></div></div></div></div><p></p>

Agentic AI Architect

ABIS

<div><p>ABIS is looking for a skilled and innovative Data and AI Architect - SMP to join our team and lead the design and implementation of data-driven solutions. In this role, you will be responsible for creating scalable and efficient data architectures that support AI and machine learning initiatives. You will collaborate with cross-functional teams to define architecture standards, data governance policies, and best practices for data management. Your expertise in data modeling, cloud technologies, and AI frameworks will be essential in shaping our strategy to leverage data as a key asset for business decision-making and operational efficiency. If you are passionate about harnessing the power of data and artificial intelligence to drive business transformation, we invite you to join us at ABIS.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul>
<li>Design and implement robust data architectures that support AI and analytics initiatives.</li>
<li>Collaborate with data engineers, data scientists, and business stakeholders to identify data needs and create solutions that deliver business value.</li>
<li>Define data governance and management best practices to ensure data quality, security, and compliance.</li>
<li>Evaluate and select appropriate technologies and tools for data processing and AI model development.</li>
<li>Lead the integration of data from diverse sources into a unified data platform.</li>
<li>Develop and maintain documentation related to data architecture and design standards.</li>
<li>Stay updated on industry trends and advancements in data technologies and AI.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.</li>
<li>+15 Years Experince.
</li><li>Proven experience in data architecture and design, particularly in AI and machine learning contexts.</li>
<li>Strong knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and data management tools.</li>
<li>Experience with data modeling, ETL processes, and data warehousing solutions.</li>
<li>Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and machine learning algorithms.</li>
<li>Excellent analytical and problem-solving skills, with a focus on delivering business value.</li>
<li>Strong communication skills to effectively collaborate with technical and non-technical stakeholders.</li></ul></div>

Data and AI Architect - SMP

AI Architect – GenAI, LLMs & AI Agents

Nagarro

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Design and deliver
 <strong>
  enterprise-grade AI solutions
 </strong>
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 <strong>
  scalable, secure, and cloud-native AI architectures
 </strong>
 aligned with enterprise standards.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
  </li>
  <li>
   Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
  </li>
  <li>
   Implement vector databases with advanced indexing and low-latency retrieval.
  </li>
  <li>
   Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
  </li>
  <li>
   Collaborate with stakeholders and communicate technical decisions clearly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Application Solution Design
  </li>
  <li>
   Cloud-Native GenAI Development
  </li>
  <li>
   Data Science on Azure
  </li>
  <li>
   Machine Learning Solution Design
  </li>
  <li>
   Advanced RAG Workflow
  </li>
  <li>
   Hands-on Python and experience with agentic GenAI systems
   <br/>
   <br/>
  </li>
 </ul>
 Arabic proficiency is a plus.
</div>


AI Solution Architect

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AI Architect – GenAI, LLMs & AI Agents

AI Solution Architect