ai solutions architect

Offshore IT Services

<p><b>Position </b>&ndash; Azure AI Architect<br/><b>Location:</b> Onsite | Mohali<br/><b>Experience:</b> 8&ndash;12 Years<br/><b>Employment Type:</b> Full-Time</p><p><b>About Us: </b><br/>TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation. With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms</p><p><b>Role Overview:</b><br/>We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms.</p><p><b>Key Responsibilities:</b><br/>Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI.</p><ul><li>Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.</li><li>Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions).</li><li>Build automation scripts and tools using .NET/C# or Python.</li><li>Manage and optimize Windows Server and Linux/Unix environments for AI workloads.</li><li>Deploy and orchestrate AI-driven applications on Kubernetes/AKS.</li><li>Ensure Responsible AI practices, security, compliance, and governance across AI deployments.</li><li>Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK).</li><li>Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions.</li><li>Mentor engineers on Azure AI, DevOps, and automation best practices</li></ul><p><b>Required Skills &amp; Experience:</b><br/>8&ndash;12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.</p><ul><li>Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.</li></ul><ul><li>Hands-on programming in .NET/C# or Python (must-have).</li></ul><ul><li>Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).</li></ul><ul><li>Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.</li></ul><ul><li>Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.</li></ul><ul><li>Familiarity with data engineering pipelines and AI integration patterns.</li></ul><ul><li>Knowledge of Responsible AI, security, compliance, and governance frameworks.</li></ul><ul><li>Bonus: Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.</li></ul><p><b>Soft Skills:</b></p><ul><li>Ability to balance strategic design with hands-on execution.</li></ul><ul><li>Excellent problem-solving and analytical abilities.</li></ul><ul><li>Strong client-facing and communication skills. &bull; Collaborative leadership to mentor and guide cross-functional teams.</li></ul><p><b>Education &amp; Certifications: </b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, IT, or related field.</li><li>Preferred Certifications: o Microsoft Certified: Azure Solutions Architect Expert</li></ul><p>Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate o Kubernetes CKA/CKAD, Terraform Associate</p><p><b>Why Join Us? </b></p><ul><li>Shape AI-first cloud architectures for global enterprises.</li><li>Be part of a fast-scaling IT services company with 200+ professionals and global exposure.</li><li>Work with cutting-edge AI, Cloud, and Data solutions.</li><li>Competitive compensation + performance bonuses.</li><li>Inclusive, collaborative, and innovation-driven culture.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹818,668.26 - ₹14,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Azure AI Architect

Accenture

<p><b>Project Role : </b>Application Support Engineer<br>
<b>Project Role Description : </b>Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
<br>
<b>Must have skills : </b>Python (Programming Language)<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>7.5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
&quot;Job Summary: We are seeking a visionary AI Architect to lead the design, development, and deployment of advanced AI systems, including MCP (Multi-Component Platform) server and client infrastructure, chat orchestration frameworks, and cutting-edge agentic AI solutions with Data Governance. This role requires deep expertise in AI system architecture, multi-agent coordination, and scalable infrastructure to enable next-generation intelligent applications. ________________________________________ Key Responsibilities: &bull; Architect and lead the development of agentic AI Chat systems that autonomously perform tasks and show relevant results to questions asked. &bull; Design and develop MCP server and client architectures ensuring high performance, scalability, and reliability. &bull; Architect and implement advanced chat orchestration systems to enable seamless multi-turn conversations with context-awareness and dynamic intent handling. &bull; Utilize Azure Stack services including Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service for deploying and scaling AI models. &bull; Lead the design and development of agentic AI models, enabling autonomous decision-making agents that can collaborate, negotiate, and adapt to changing environments. &bull; Develop frameworks and protocols for multi-agent AI coordination and communication to support complex workflows and emergent behaviors. &bull; Collaborate with cross-functional teams including data scientists, ML engineers, Data Engineers, and product managers to integrate AI solutions into production systems. &bull; Define technical roadmaps, architectural standards, and best practices for AI system development. &bull; Evaluate new AI technologies and frameworks to continuously enhance system capabilities. &bull; Ensure system security, data privacy, and compliance with relevant regulations. &bull; Troubleshoot and optimize AI models and infrastructure for latency, throughput, and resource efficiency. ________________________________________ Required Qualifications: &bull; Proven experience as an AI Architect or similar role designing large-scale AI/ML systems. &bull; Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python). &bull; Deep understanding of multi-agent systems, agentic AI principles, and chat orchestration methodologies. &bull; Experience with building and deploying scalable backend services (MCP server/client) and distributed systems. &bull; Familiarity with NLP, conversational AI, dialogue management, and context-aware AI systems. &bull; Solid knowledge of cloud platforms (Azure) and container orchestration (Kubernetes, Docker). &bull; Strong skills in system design, microservices architecture, and API development. &bull; Excellent problem-solving, communication, and leadership skills. ________________________________________ Preferred Skills: &bull; Experience with reinforcement learning, meta-learning, or adaptive AI techniques. &bull; Familiarity with AI ethics, bias mitigation, and privacy-preserving AI methods. &bull; Knowledge of event-driven architecture and real-time data processing. &bull; Exposure to DevOps practices and CI/CD pipelines for AI applications.&quot;</p>
<br>
15 years full time education

Application Support Engineer

Capgemini

<div><div><div><p>Hyderabad</p><div>
Gen AI Architect</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we&rsquo;ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we&rsquo;ll provide everything you need to do your best work and become the best you can be.
</p><div><div><div><div>Your Profile</div></div><div><div>
Solution Design: Architect scalable Generative AI solutions for enterprise use cases (chatbots, content generation, code assistants, knowledge management).</div><div>
Model Selection &amp; Fine-Tuning: Evaluate, customize, and fine-tune LLMs and multimodal models (OpenAI, Azure OpenAI, Hugging Face, etc.).</div><div>
Integration: Design APIs and pipelines to integrate AI models with existing enterprise systems (ERP, CRM, Data Lakes).</div><div>
Governance &amp; Compliance: Implement AI ethics, responsible AI practices, and ensure compliance with data privacy regulations.</div><div>
Performance Optimization: Optimize inference speed, cost, and accuracy using techniques like prompt engineering, RAG (Retrieval-Augmented Generation), and model compression.</div></div></div><div><div><div>
Your Role</div></div><div><div>
Strong experience in AI/ML architecture, cloud platforms (Azure, AWS, GCP).</div><div>
Expertise in Generative AI frameworks (Transformers, LangChain, LlamaIndex).</div><div>
Proficiency in Python, API development, and MLOps pipelines.</div><div>
Understanding of data security, AI ethics, and compliance standards.Excellent communication and stakeholder management skills.</div></div></div><div><div><div>
What you'll love about working here</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. 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>
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>Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
</p></div></div><p></p><div><div><div><div><div>Ref. code</div><div>
360272-en_GB</div></div><div><div>
Posted on</div><div>
18 Dec 2025</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>
Other Delivery units</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Gen AI Architect

Quest Global

<div><b>Job Requirements<br>
</b><br>
<p>At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.</p><p>
Key Responsibility</p><p>
 Responsible for designing, implementing, and overseeing AI solutions that align with business objectives</p><p>
Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.</p><p>
System Design: Architect robust AI frameworks and infrastructure for scalability and performance.</p><p>
Model Development: Design and implement AI/ML models, algorithms, and pipelines.</p><p>
Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.</p><p>
Optimization &amp; Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.</p><p>
Compliance &amp; Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).</p><p>
Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices</p><p>
Security &amp; Compliance: Data anonymization, secure model deployment, bias detection</p><b><br>
Work Experience<br>
</b><br>
<p><b>Mandatory Skills</b></p><p>
Programming Languages: Python, Java, or Node.js for AI system development.</p><p>
Machine Learning &amp; Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.</p><p>
Data Engineering &amp; MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.</p><p>
Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability.</p><p>
System Design &amp; Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes).</p><p>
Security &amp; Compliance: Data anonymization, secure model deployment, bias detection</p><b><br>
Benefits<br>
</b><br>
<p>NA</p></div>

AI Architect

Python Technologies

<p><b>Location:</b> DHA Phase 2, Islamabad<br/><b>Work Mode:</b> Onsite<br/><b>Office Hours:</b> 6:00 PM &ndash; 2:00 AM (Monday to Friday)</p><p>We are looking for a skilled and motivated <b>AI Engineer</b> to join our growing team. This is a full-time, onsite role for someone passionate about building and deploying AI-powered solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Architect, develop, and deploy AI/ML solutions for real-world use cases</li><li>Lead projects involving LLMs, AI chatbots, voice bots, and intelligent automation</li><li>Design and optimize NLP pipelines and ML models</li><li>Integrate AI solutions with web apps, CRMs, APIs, and databases</li><li>Mentor junior engineers and provide technical guidance</li><li>Ensure scalability, performance, and security of AI systems</li></ul><p><b>Requirements</b></p><ul><li>Hands-on experience in AI/ML development</li><li>Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with LLMs, prompt engineering, NLP, and AI automation</li><li>Solid understanding of REST APIs, databases, and cloud platforms</li><li>Experience deploying models into production environments</li><li>Strong problem-solving and leadership skills</li></ul><p><b>Compensation</b></p><p><b>PKR 70,000 &ndash; 100,000 per month</b> (depending on experience and skill set)</p><p><b>What We Offer</b></p><ul><li>Competitive salary (based on experience)</li><li>Hands-on work with real AI products and clients</li><li>Growth-oriented environment with learning opportunities</li></ul><p><b>Interested candidates</b> can apply by sending their CV</p><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 per month</p><p>Work Location: In person</p>

Artificial Intelligence Engineer

Deeplight

About the Role <p>We're looking for an experienced and personable GenAI Solutions Architect to join our growing AI delivery team. You'll design and build large language model (LLM) systems that move beyond experimentation and into real-world production - powering search, summarisation, knowledge assistants, and automation for enterprise clients.</p> <p>This is a hands-on, execution-focused role that requires strong stakeholder management skills. You'll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won't be buried in research or building theoretical models; you'll be deploying actual systems that users rely on every day.</p> Requirements What You'll Do <ul> <li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li> <li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant). Experience with Graph RAG architectures and proficiency in Node.js required.</li> <li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA / QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li> <li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li> <li>Collaborate with cross-functional teams-translating complex GenAI architectures into stable, maintainable features that support product delivery</li> <li>Write and review technical design documents and remain actively involved in implementation decisions</li> <li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li> </ul> What You'll Bring <ul> <li>Proven background in Machine Learning</li> <li>Proven experience building and deploying GenAI-powered applications, in enterprise or regulated environments</li> <li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)</li> <li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs</li> <li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li> <li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI / CD, monitoring, containerization)</li> <li>Proven experience supporting and/or delivering AI / ML Products</li> <li>A commercial and delivery mindset- you know how to balance speed, quality, and feasibility in fast-moving projects</li> </ul> Nice to Have <ul> <li>Experience building multi-tenant GenAI platforms</li> <li>Exposure to enterprise-grade AI governance and security standards</li> <li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li> <li>Knowledge of cost-optimization strategies for LLM inference and token usage</li> </ul> This Role Is Not For <ul> <li>ML researchers focused on academic model development without delivery / product experience</li> <li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li> <li>Engineers who haven't shipped GenAI products into production environments</li> </ul> Benefits & Growth Opportunities <ul> <li>Competitive salary and performance bonuses</li> <li>Comprehensive health insurance</li> <li>Professional development and certification support</li> <li>Opportunity to work on cutting-edge AI projects</li> <li>International exposure and travel opportunities</li> <li>Flexible working arrangements</li> <li>Career advancement opportunities in a rapidly growing AI company</li> </ul> <p>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.</p>

GenAI Solutions Architect

Finaira

<div><p>The AI Engineer II designs, builds, and deploys scalable AI systems spanning classical ML, LLMs, and agentic architectures. This role drives the development of intelligent agents, optimized inference pipelines, and automated AI workflows, while mentoring junior engineers and shaping best practices in MLOps and AgentOps.</p><p><b>
Focus</b>: Solution Architecture &middot; Agentic Systems &middot; Model Optimization &middot; Mentorship</p><p><b>
The difference you will make:</b></p><ul>
<li>
Architect and implement end-to-end AI solutions, from data pipelines to agentic reasoning systems.</li>
<li>Design and maintain training and inference pipelines for both ML and LLM models.</li>
<li>Lead fine-tuning, LoRA training, prompt-tuning, and model evaluation initiatives.</li>
<li>Build and orchestrate agentic workflows&mdash;including tool calling, memory management, and multi-agent coordination.</li>
<li>Integrate AI models with applications through robust APIs and services.</li>
<li>Define and enforce standards for MLOps and AgentOps (versioning, deployment, monitoring, evaluation).</li>
<li>Establish evaluation frameworks for predictive and generative systems (performance, accuracy, factuality, safety).</li>
<li>Troubleshoot complex AI infrastructure issues and ensure production reliability.</li>
<li>Mentor AI Engineer 1 associates and lead code reviews and knowledge sharing.</li>
<li>Collaborate with cross-functional teams (product, data, UX, DevOps) to translate business problems into AI solutions.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field. Master's degree preferred.</li>
<li>Experience: 3+ years hands-on AI/ML development and deployment experience</li>
</ul><p></p><p><b>
Technical Skills:</b></p><ul>
<li>
Expertise in Python and ML/LLM frameworks (PyTorch, TensorFlow, Transformers, LangChain, vLLM).</li>
<li>Strong knowledge of MLOps &amp; AgentOps tools (Docker, Kubernetes, CI/CD, Ray Serve, MLFlow).</li>
<li>Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).</li>
<li>Proficiency in databases (SQL/NoSQL) and data pipeline design.</li>
<li>Expertise in fine-tuning, adapter training (LoRA), and RAG pipelines.</li>
<li>Strong understanding of prompt design, multi-agent orchestration, memory architectures, and tool integration.</li>
<li>Familiar with AI safety, evaluation, and governance frameworks.</li>
</ul><p></p><p><b>
Soft Skills:</b></p><ul>
<li>
Strategic problem-solving and innovation mindset.</li>
<li>Excellent communication with both technical and non-technical stakeholders.</li>
<li>Team leadership and mentorship skills.</li>
<li>Curiosity for research and emerging AI techniques.</li>
</ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div><p></p>

AI Engineer II

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