ai solution architect

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

Microsoft

<div><b>Overview</b><div><p><br>
Microsoft Industry Solutions Delivery is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft&rsquo;s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs.</p></div><div><p><br>
<br>
Our organization is at the forefront of innovation, driving value across the entirety of the customers&rsquo; digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Cloud and AI. We take pride in embodying Microsoft's mission of empowerment, promoting a growth mindset, inspiring excellence, and fostering a culture of inclusivity where everyone is encouraged to share their unique perspectives and be their authentic selves. By joining our team, you'll have the opportunity to contribute to life-changing innovations that impact billions of people worldwide.</p></div><div><p><br>
<br>
The Solution Architect is responsible for translating the client&rsquo;s business requirements into specific systems, applications, or process designs for very large complex technology solutions and architectures. You&rsquo;ll act as an advocate for the client as the ultimate authority on the architecture designed to address client business problems. You&rsquo;ll provide direction for design activities, often project-based, sometimes working at customer sites.</p></div><div><p><br>
<br>
As a Solution Architect you&rsquo;ll gather customer/partner insights from a broad range of stakeholders to shape and form both the definition and ongoing execution of projects. You&rsquo;ll define and document the architecture to communicate the value proposition of the business solution along with the project approach. Collaborating with the Project Manager you&rsquo;ll jointly drive project/technical governance of the design, build, and deployment into use. You&rsquo;ll work with the business sponsor and customer/partner stakeholders to gather and ratify requirements and constraints and collaborating with the Account Team and/or Bid Team to understand the business solution/problem. This role is flexible in that you can work up to 50% from home.</p></div><div><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div><b><br>
Responsibilities</b><div><div><p><br>
Responsibilities -</p></div><div><ul><li><p>
You will gather customer/partner insights from a broad range of stakeholders as well as the main business sponsor to shape and form both the definition and ongoing execution of projects and work with customer/partner stakeholders and business sponsor to socialize both the business solution and the project approach to determine if changes are needed to the business solution.</p></li></ul></div><div><ul><li><p>
You will use evidence-based approach to represent the customer/partner as a customer advocate and share insights with Product Engineering teams and the business with a view to improving Microsoft technologies, products, services and offerings such that they can better meet customer/partner needs across a territory.</p></li></ul></div><div><ul><li><p>
You will define and document the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution along with the project approach.</p></li></ul></div><div><ul><li><p>
You will work with customers to understand and demonstrate business value (e.g., release of revenue, cost savings) that the business solution realizes and manage and resolve ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved.</p></li></ul></div><div><ul><li><p>
You will generate new and/or improvements to existing intellectual property. Connects gaps and patterns across business and technology areas to drive changes.</p></li></ul></div><div><ul><li><p>
You will identify which ideas should be culled, with consideration for scale across customers and drive the re-use of intellectual property and recommends practices in both pre-sales and delivery as well as participate and contribute to internal/external communities.</p></li></ul></div><div><ul><li><p>
You will lead virtual teams around technologies and customer/partner challenges by sharing ideas, insight, and strategic, technical input with technical teams, internal communities across the field and the larger virtual team across Microsoft using knowledge of Microsoft architectures and their context in the competitive landscape.</p></li></ul></div><div><p><br>
<br>
Technology Areas -</p></div><div><ul><li><p>
Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.</p></li></ul></div><div><ul><li><p>
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.</p></li></ul></div><div><ul><li><p>
Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.</p></li></ul></div></div><div><div><ul><li><p>
Experience working with transactional, temporal, time series, and structured and unstructured data.</p></li></ul></div><div><ul><li><p>
Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, GCP&rsquo;s Big Query, AWS Redshift, Azure Data Lake, Azure Data Explorer<br>
Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau)</p></li></ul></div><div><ul><li><p>
Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks)</p></li></ul></div><div><ul><li><p>
Experience with cloud infrastructure, storage optimization and query optimizations.</p></li></ul></div><div><ul><li><p>
Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.</p></li></ul></div><div><ul><li><p>
Proficiency in data modeling and design, including SQL development and database administration.</p></li></ul></div><div><ul><li><p>
Experience with cloud platforms, such as Azure, to manage and integrate data systems.</p></li></ul></div><div><ul><li><p>
Knowledge of big data developments and technology architectures.</p></li></ul></div><div><ul><li><p>
Familiarity with data security measures and compliance regulations.</p></li></ul></div><div><ul><li><p>
Ability to design and model database, data warehouse, and data flow infrastructures.</p></li></ul></div><div><ul><li><p>
Understanding of data integration and the tools to manage data flow</p></li></ul></div></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain of Data &amp; AI.</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years technical sales experience</p></li></ul></div><div><ul><li><p>
Minimum 8+ years on the Data solution area with experience on AI/ML</p></li></ul></div><div><ul><li><p>
Presales and Delivery Experience for large and complex deals</p></li></ul></div><div><ul><li><p>
Background of Data Migration and Modernization on cloud</p></li></ul></div></div><p></p><div><div><p><br>
Preferred Qualifications:</p></div><div><ul><li><p>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years project management experience</p></li></ul></div><div><ul><li><p>
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers</p></li></ul></div><div><ul><li><p>
Technical or Professional Certification in Domain (e.g., Security)</p></li></ul></div><p></p><div><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</p></div></div><br>
<p></p>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data & AI, Solution Architect

92Techno

<p>We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.</p><p><b>Responsibilities</b></p><ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul><p><b>Required Qualifications</b></p><ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul><p>Job Type: Full-time</p><p>Pay: Rs500,000.00 - Rs600,000.00 per month</p><p>Work Location: In person</p>

Amgen

<div><p><b>ABOUT AMGEN</b></p><p>
Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.</p><p></p><p><b>
ABOUT THE ROLE</b></p><p><b>
Role Description:</b></p><p>
The <b>Sr Associate Solution Architect </b>position offers a unique opportunity to join a fun, innovative engineering team within the AI &amp; Data Science (AI&amp;D) - organization. You&rsquo;ll work on next-generation capabilities and services in Applied AI &amp; Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen&rsquo;s Applied AI &amp; Automation Footprint.</p><p></p><p><b>
Role Summary</b></p><p>
We are seeking a highly skilled and innovative Senior Associate Solution Architect to design, build, and scale enterprise-grade AI systems, with a strong emphasis on agentic AI, intelligent automation, and MLOps best practices. This role is ideal for a hands-on architect who operates at the intersection of autonomous AI systems, cloud-native platforms, and regulated enterprise environments.</p><p>
The architect will lead the design of agent-based systems capable of autonomous planning, tool use, multi-agent coordination, and integration with enterprise automation platforms.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Architect, build, and deploy full-stack AI and agentic systems with a focus on scalability, reliability, and cost efficiency.</li><li>
Design and implement agentic AI solutions that autonomously plan, execute, and monitor complex workflows using LLMs, multi-agent patterns, and tool orchestration.</li><li>
Define reference architectures for agent-based automation across a maturity spectrum, from basic agentic workflows to advanced multi-agent systems integrated with enterprise platforms.</li><li>
Integrate agentic AI with intelligent automation and RPA platforms such as UiPath and Power Automate to enable end-to-end business process automation.</li><li>
Collaborate with data scientists, engineers, and product teams to drive platform reuse, architectural consistency, and innovation.</li><li>
Establish MLOps and AgentOps practices including CI/CD, monitoring, governance, and lifecycle management for AI and agent-based systems.</li><li>
Stay current with advancements in generative AI, multi-modal models, and agent frameworks, applying them pragmatically in enterprise contexts.</li></ul><div></div><p><b>
Basic Qualifications</b></p><ul><li>
Bachelor's degree with 4 to 8 years of experience, or Master's degree, in Life Sciences, Biotechnology, Pharmacology, Information Systems, or related fields.</li><li>
3+ years of hands-on experience designing and deploying AI/ML systems in production environments.</li><li>
Demonstrated experience architecting agentic AI systems, including multi-agent coordination, tool integration, and autonomous workflow execution.</li><li>
Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.</li><li>
Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>
Hands-on experience with MLOps practices and AI model lifecycle management.</li><li>
Solid understanding of LLM-based architectures, prompt engineering, and fine-tuning techniques.</li><li>
Experience designing and deploying automation workflows using platforms such as UiPath and Power Automate.</li></ul><div></div><p><b>
Preferred Qualifications</b></p><ul><li>
Experience with agentic AI frameworks and orchestration patterns, for example LangChain, LangGraph, AWS AgentCore, UiPath Agent or Maestro, N8N, and A2A.</li><li>
Good understanding of Model Context Protocol (MCP) concepts and application patterns.</li><li>
Experience with vector databases and retrieval-augmented generation (RAG) architectures.</li><li>
Experience architecting and deploying end-to-end ML pipelines using platforms such as Kubeflow, Amazon SageMaker, or OpenAI SDK.</li><li>
Strong understanding of cloud-native optimization, CI/CD pipelines, observability, and governance.</li><li>
Experience with model monitoring, observability tools, and responsible AI practices.</li><li>
Familiarity with SAP platforms, preferably S4 and Build Process Automation (BPA).</li><li>
Experience in Pharma, Biopharma, or regulated healthcare environments.</li></ul><div></div><p><b>
Soft Skills</b></p><ul><li>
Strong solution design and analytical problem-solving skills.</li><li>
Ability to translate complex business requirements into scalable technical architectures.</li><li>
Excellent communication, collaboration, and presentation skills.</li><li>
Proven ability to work effectively in cross-functional, team-based environments.</li></ul><p></p><p><b>
EQUAL OPPORTUNITY STATEMENT</b></p><p>
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p><p>
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform</p></div>

Sr Associate Applied AI Solution Architect (Agentic Automation, GenAI & ML)

<div><b>Overview</b><div><p><br>
Microsoft Industry Solutions Delivery is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft&rsquo;s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs.</p></div><div><p><br>
<br>
Our organization is at the forefront of innovation, driving value across the entirety of the customers&rsquo; digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Cloud and AI. We take pride in embodying Microsoft's mission of empowerment, promoting a growth mindset, inspiring excellence, and fostering a culture of inclusivity where everyone is encouraged to share their unique perspectives and be their authentic selves. By joining our team, you'll have the opportunity to contribute to life-changing innovations that impact billions of people worldwide.</p></div><div><p><br>
<br>
The Solution Architect is responsible for translating the client&rsquo;s business requirements into specific systems, applications, or process designs for very large complex technology solutions and architectures. You&rsquo;ll act as an advocate for the client as the ultimate authority on the architecture designed to address client business problems. You&rsquo;ll provide direction for design activities, often project-based, sometimes working at customer sites.</p><p></p><div><p><br>
As a Solution Architect you&rsquo;ll gather customer/partner insights from a broad range of stakeholders to shape and form both the definition and ongoing execution of projects. You&rsquo;ll define and document the architecture to communicate the value proposition of the business solution along with the project approach. Collaborating with the Project Manager you&rsquo;ll jointly drive project/technical governance of the design, build, and deployment into use. You&rsquo;ll work with the business sponsor and customer/partner stakeholders to gather and ratify requirements and constraints and collaborating with the Account Team and/or Bid Team to understand the business solution/problem. This role is flexible in that you can work up to 50% from home.</p></div><div><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div></div><b><br>
Responsibilities</b><div><ul><li><p><br>
You will gather customer/partner insights from a broad range of stakeholders as well as the main business sponsor to shape and form both the definition and ongoing execution of projects and work with customer/partner stakeholders and business sponsor to socialize both the business solution and the project approach to determine if changes are needed to the business solution.</p></li></ul></div><div><ul><li><p>
You will use evidence-based approach to represent the customer/partner as a customer advocate and share insights with Product Engineering teams and the business with a view to improving Microsoft technologies, products, services and offerings such that they can better meet customer/partner needs across a territory.</p></li></ul></div><div><ul><li><p>
You will define and document the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution along with the project approach.</p></li></ul></div><div><ul><li><p>
You will work with customers to understand and demonstrate business value (e.g., release of revenue, cost savings) that the business solution realizes and manage and resolve ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved.</p></li></ul></div><div><ul><li><p>
You will generate new and/or improvements to existing intellectual property. Connects gaps and patterns across business and technology areas to drive changes.</p></li></ul></div><div><ul><li><p>
You will identify which ideas should be culled, with consideration for scale across customers and drive the re-use of intellectual property and recommends practices in both pre-sales and delivery as well as participate and contribute to internal/external communities.</p></li></ul></div><div><ul><li><p>
You will lead virtual teams around technologies and customer/partner challenges by sharing ideas, insight, and strategic, technical input with technical teams, internal communities across the field and the larger virtual team across Microsoft using knowledge of Microsoft architectures and their context in the competitive landscape.</p></li></ul></div><div><p><br>
<br>
Technology Areas -</p></div><div><ul><li><p>
Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.</p><div><div><ul><li><p>
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.</p></li></ul></div><div><ul><li><p>
Experience in designing and building enterprise application, cloud native application, containerization, microservices, infusing AI in application, building Copilots and agents.</p></li></ul></div></div><div><div><ul><li><p>
Guide the deployment of Azure services, Ensure compliance with governance, security, and operational best practices.</p></li></ul></div><div><ul><li><p>
Support CI/CD pipeline integration, infrastructure-as-code (IaC) practices, and automation using tools like Terraform and Jenkins.</p></li></ul></div><div><ul><li><p>
Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks)</p></li></ul></div><div><ul><li><p>
Experience in delivering/managing lifecycle of software/services using DevOps/MLOps/LLMOps.</p></li></ul></div><div><ul><li><p>
Experience in Agentic Orchestration and governance</p></li></ul></div><div><ul><li><p>
AI platform including Microsoft Foundry, Azure OpenAI, Azure AI Services, AI Search, Agent service, Semantic Kernal, LangChain, LangGraph and Application platform AKS, App service, Azure Functions, Azure Integration Services, Cosmos DB, Postgre SQL DB</p></li></ul></div><div><ul><li><p>
Experience with cloud platforms, such as Azure, to manage and integrate data systems, building AI pipelines.</p></li></ul></div><div><ul><li><p>
Familiarity with AI security measures and compliance regulations.</p></li></ul></div></div></li></ul></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain of Data &amp; AI.</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years technical sales experience</p></li></ul></div><div><ul><li><p>
Minimum 8+ years on the Data solution area with experience on AI/ML</p></li></ul></div><div><ul><li><p>
Presales and Delivery Experience for large and complex deals</p></li></ul></div><div><ul><li><p>
Background of Data Migration and Modernization on cloud</p></li></ul></div><p></p><div><p><br>
Preferred Qualifications:</p></div><div><ul><li><p>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div></div><div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years project management experience</p></li></ul></div><div><ul><li><p>
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers</p></li></ul></div><div><ul><li><p>
Proficiency in programming e.g. Python, .NET or Java</p></li></ul></div><div><ul><li><p>
Technical or Professional Certification in Domain (e.g., Security)</p></li></ul></div><p></p><div><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</p></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

AI & Apps Solution Architect

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Data Science Lead - R01561319</b></h1>
<p></p><div><b>Data Science Lead</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Advanced: Data Scientist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Job Description: Lead Solution Architect (Agentic AI &amp; App Integration) Role Overview As the Lead Solution Architect, you will be the visionary and technical engine behind our AI-Enabled application. Transform a reactive monitoring environment into a proactive, agentic ecosystem. You will design the foundational integration blocks that allow Generative AI agents to interact with third-party applications, transcribe real-time communications, and provide intelligent, multi-step reasoning to support mission-critical decisions. ________________________________________ The Foundational Blocks 1. Orchestration Layer: Building the multi-agent framework (e.g., AutoGen, LangChain, or Semantic Kernel) that allows AI agents to collaborate, hand off tasks, and resolve complex incidents autonomously. 2. Universal Integration Fabric: Designing a standardized API and Webhook gateway that connects apps for real-time data ingestion and action execution. 3. The &quot;Live Intelligence&quot; Pipeline: Implementing Speech-to-Text (STT) and Natural Language Understanding (NLU) systems to ingest radio, video, and voice comms directly into the AI&rsquo;s reasoning engine. 4. Governance &amp; ALA (Agentic Level Agreements): Establishing the guardrails, audit logs, and &quot;human-in-the-loop&quot; protocols to ensure AI actions are safe, compliant, and transparent. ________________________________________ Key Responsibilities &bull; Drive Agentic AI Strategy: Lead the architectural design of autonomous agents capable of L1/L2 incident triage, automated investigation, and proactive threat hunting. &bull; Cross-App Integration: Develop reusable integration patterns (Event-Driven, WebSockets, REST) to ensure the app is the &quot;single pane of glass&quot; for all connected applications. &bull; Conversational AI &amp; STT: Design high-fidelity chatbot interfaces and real-time transcription services that allow operators to &quot;talk to the data&quot; and receive voice-activated summaries of active incidents. &bull; Data Science Leadership: Partner with Data Scientists to fine-tune LLMs, optimize Retrieval-Augmented Generation (RAG) pipelines, and ensure model outputs are grounded in enterprise-specific data. &bull; Scalability &amp; Resilience: Ensure the architecture supports high-concurrency, low-latency operations.</li></ul></div><p></p>

Data Science Lead – R01561319

Deeplight AI

<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.
 <br/>
 <br/>
 The GenAI Solution Architect is a high-impact leadership role responsible for the design, orchestration, and scaling of ADCB's Artificial Intelligence ecosystem. You will serve as the master designer for intelligent customer and employee journeys, bridging the gap between ambitious product visions and robust, enterprise-grade technology. This role focuses on the structural integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines into the Bank's broader digital value streams. You are not just designing models; you are architecting secure, compliant, and highly scalable systems that redefine how the Bank operates in a digital-first world.
 <br/>
 <br/>
 As the GenAI Solution Architect, your responsibilities include:
 <br/>
 <br/>
 <ul>
  <li>
   Architecting end-to-end solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG) that align with the Bank's strategic roadmap
  </li>
  <li>
   Evaluating and selecting the optimal stack (e.g., Azure OpenAI, LangChain, Vector Databases) while promoting the reuse of APIs and microservices to minimize technical debt
  </li>
  <li>
   Guiding and coaching tech leads and engineering squads across AI architecture principles, ensuring high-quality technical builds in a scaled agile model
  </li>
  <li>
   Developing and maintaining comprehensive solution architecture documentation to support platform-level governance and regulatory compliance
  </li>
  <li>
   Acting as the primary technical voice to internal stakeholders, translating complex AI capabilities into clear business value propositions and product requirements
  </li>
  <li>
   Leading the rapid prototyping of emerging capabilities like multimodal AI and agentic systems, balancing speed-to-market with enterprise security
  </li>
  <li>
   Supporting, Coaching and Mentoring more junior members of the team, when required
  </li>
  <li>
   Additional responsibilities on occasion, on management request
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  As an AI consultancy, our greatest asset is the expertise of our people.
  <br/>
  <br/>
 </em>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
  <br/>
  <br/>
 </em>
 <em>
  If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
  <br/>
  <br/>
 </em>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  To be successful in this role, we need you to have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6+ years experience in technology architecture, with a minimum of 3 years dedicated specifically to AI/ML solution design
  </li>
  <li>
   A Bachelor's degree in Computer Science, AI, or Software Engineering. A Master's degree is highly preferred
  </li>
  <li>
   Be Azure or AWS Solution Architect certified
  </li>
  <li>
   Previous experience in banking or financial services
  </li>
  <li>
   Deep expertise in architecting RAG pipelines, embeddings, and vector databases (Pinecone, FAISS)
  </li>
  <li>
   Advanced knowledge of Azure and AWS ecosystems, specifically for AI/ML deployments and serverless architectures
  </li>
  <li>
   Proven ability to define backlog items (Epics/Features) and mentor engineering teams in a Scaled Agile framework
  </li>
  <li>
   Strong grasp of microservices, API design patterns, and enterprise data products
  </li>
  <li>
   A firm commitment to ethical AI principles, explainability, and governance within a highly regulated environment
   <br/>
   <br/>
  </li>
 </ul>
 It would be beneficial if you also had:
 <br/>
 <br/>
 <ul>
  <li>
   A proven ability to anticipate the evolution of agentic systems and assess their long-term applicability to banking
  </li>
  <li>
   Be skilled in articulating the ROI of AI solutions to non-technical senior leadership
  </li>
  <li>
   Experience in proactively identifying architectural risks, from data privacy leaks to model performance bottlenecks
  </li>
  <li>
   Experience in actively engaging with the global AI community to stay ahead of trends like PEFT (Parameter-Efficient Fine-Tuning) or RLHF
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits &amp; Growth Opportunities:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
  <br/>
  <br/>
 </em>
 <em>
  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.
 </em>
</div>


GenAI Solution Architect

Search 10000+ Ai solution architect jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 ai solution architect jobs Near Me

AI Solution Architect

Data & AI, Solution Architect

AI Solution Architect

Sr Associate Applied AI Solution Architect (Agentic Automation, GenAI & ML)

AI & Apps Solution Architect

Data Science Lead – R01561319

GenAI Solution Architect