ai solution architect

Capgemini Engineering

<div></div><div><div><div><div><p><b>Location: </b>Bangalore
<br>
<b>Experience: </b>6-9 Years
</p><p>Choosing Capgemini means choosing a place where you&rsquo;ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.
</p><p></p><h3 class="jobSectionHeader"><b>Your Role
</b></h3><p>As a <b>Data Intelligence &amp; AI Solution Architect </b>, you will lead the design and implementation of advanced data platforms and AI-driven solutions. You&rsquo;ll collaborate with presales, delivery, and client teams to architect scalable systems using <b>Databricks </b>, <b>MLOps frameworks </b>, and <b>cloud-native technologies </b>.
</p><p></p><h3 class="jobSectionHeader"><b>Key Responsibilities
</b></h3><ul><li>Architect and design data intelligence platforms using <b>Databricks </b>, <b>Apache Spark </b>, and <b>Delta Lake </b>.
</li><li>Lead MLOps initiatives to streamline model development, deployment, and monitoring.
</li><li>Collaborate with account teams to understand client challenges and propose AI-driven solutions.
</li><li>Support presales activities including RFP responses, solution presentations, and workshops.
</li><li>Integrate data mining, machine learning, and predictive analytics into business applications.
</li><li>Ensure solutions align with client goals in retail, supply chain, and consumer product domains.
</li><li>Stay current with trends in <b>artificial intelligence </b>, <b>data science </b>, and <b>cloud computing </b>.
</li><li>Contribute to internal capability building and knowledge-sharing initiatives.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Your Profile
</b></h3><ul><li>6 - 9 years of experience in <b>data engineering </b>, <b>AI/ML solutioning </b>, and <b>cloud platforms </b>.
</li><li>Hands-on experience with <b>Databricks </b>, <b>Azure Machine Learning </b>, <b>MLflow </b>, and <b>Python/R </b>.
</li><li>Strong understanding of <b>MLOps </b>, <b>data pipelines </b>, and <b>model lifecycle management </b>.
</li><li>Experience in presales or client-facing technical roles is a plus.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science </b>, <b>Information Technology </b>, or related field.
</li><li>Excellent communication and stakeholder engagement skills.
</li><li>Passion for innovation and a proactive approach to problem-solving.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Why Join Us
</b></h3><ul><li>Flexible work options and a supportive environment for work-life balance.
</li><li>Inclusive culture with diverse professionals committed to excellence.
</li><li>Access to continuous learning and certifications in <b>AI </b>, <b>cloud </b>, and <b>data technologies </b>.
</li></ul><p></p><h3 class="jobSectionHeader"><b>About Capgemini
</b></h3><p>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p></div></div></div></div>

Data Intelligence & AI Solution Architect

Ooredoo Qatar

<div>
 <p>
  About the Role:
 </p>
 <p>
  The Assistant Director &ndash; AI Solution Architect plays a dual role as both a technical leader and a strategic business enabler, responsible for driving adoption of AI infrastructure solutions across Ooredoo Qatar&rsquo;s enterprise and government clients. This position combines deep technical expertise with business development acumen to support revenue growth through the sale and implementation of GPU-accelerated, AI-powered architectures.
 </p>
 <p>
  This role involves close collaboration with internal business development teams and external technology vendors (e.g., NVIDIA, Microsoft, Red Hat) to design secure, scalable, and high-performance infrastructure supporting AI/ML, HPC, and data analytics workloads. The individual will help Ooredoo position itself as a leading digital transformation partner, particularly in verticals like healthcare, energy, public services, and financial sectors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Functional Context:
 </p>
 <p>
  Sitting within the Business Solutions division, the Professional Services department leads the acquisition and delivery of complex technology projects. This role contributes directly to Ooredoo&rsquo;s strategic AI portfolio by aligning AI solution design with customer use cases and business objectives, while proactively identifying new opportunities across the market. The Assistant Director serves as a bridge between technical delivery and commercial success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Key Responsibilities:
  </u>
 </p>
 <ul>
  <li>
   Work closely with Business Development and Sales teams to identify AI-related opportunities across key enterprise verticals.
  </li>
  <li>
   Lead client-facing discussions to understand business challenges and translate them into AI-powered infrastructure proposals.
  </li>
  <li>
   Own the technical sales process for AI infrastructure, including presentations, solution design, pricing input, and commercial alignment.
  </li>
  <li>
   Build and maintain strong relationships with senior client stakeholders (CIOs, CTOs, IT leaders).
  </li>
  <li>
   Design secure, scalable GPU-based architectures for AI/ML and HPC workloads across hybrid and multicloud environments.
  </li>
  <li>
   Convert strategic customer use cases into high-level architecture blueprints using NVIDIA, Kubernetes, Red Hat, and Azure ML.
  </li>
  <li>
   Optimize solutions for performance, compliance, security, and interoperability with existing environments.
  </li>
  <li>
   Collaborate with ecosystem partners (NVIDIA, Microsoft, Red Hat, Huawei) to integrate Ooredoo&rsquo;s infrastructure and co-develop market strategies.
  </li>
  <li>
   Represent Ooredoo in partner-led briefings, product roadmap discussions, and innovation forums.
  </li>
  <li>
   Oversight the development of solution responses including SoWs, RFx responses, and pricing models.
  </li>
  <li>
   Ensure all technical submissions support commercial goals and client success.
  </li>
  <li>
   Work closely with Product teams to ensure Ooredoo AI offerings align with market needs and customer expectations.
  </li>
  <li>
   Conduct executive-level workshops, PoCs, and onboarding sessions to drive AI platform adoption.
  </li>
  <li>
   Guide the development of vertical-specific use cases and reference architectures tailored to Qatar&rsquo;s regulated sectors.
  </li>
  <li>
   Promote the adoption of DevSecOps, containerization, and platform services for scalable deployment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Minimum Entry Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s degree in IT, Computer Science, or Engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  Minimum Experience, Essential Knowledge &amp; Skills:
 </p>
 <ul>
  <li>
   Minimum 12 years experience.
  </li>
  <li>
   10+ years in technical consulting, solution architecture, or infrastructure engineering.
  </li>
  <li>
   3+ years in AI/ML project delivery or AI infrastructure design.
  </li>
  <li>
   Experience in hybrid cloud, data center, and GPU computing architectures.
  </li>
  <li>
   Deep understanding of enterprise IT environments and compliance frameworks (e.g., Q-CERT, CRA).
  </li>
  <li>
   Strong business acumen and ability to influence technology decisions across non-technical stakeholders
  </li>
  <li>
   Proficiency in AI/ML workflows and APIs (OpenAI, Azure AI, Hugging Face).
  </li>
  <li>
   Deep knowledge of networking (including InfiniBand) and security architectures in enterprise/cloud contexts.
  </li>
 </ul>
</div>


Assistant Director AI Solution Architect

Ooredoo Group of Companies

<div>About Us:<p><br>
Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!</p>
About the Role:<p><br>
The Assistant Director - AI Solution Architect plays a dual role as both a technical leader and a strategic business enabler, responsible for driving adoption of AI infrastructure solutions across Ooredoo Qatar's enterprise and government clients. This position combines deep technical expertise with business development acumen to support revenue growth through the sale and implementation of GPU-accelerated, AI-powered architectures. This role involves close collaboration with internal business development teams and external technology vendors (e.g., NVIDIA, Microsoft, Red Hat) to design secure, scalable, and high-performance infrastructure supporting AI/ML, HPC, and data analytics workloads. The individual will help Ooredoo position itself as a leading digital transformation partner, particularly in verticals like healthcare, energy, public services, and financial sectors.</p><p>
Sitting within the Business Solutions division, the Professional Services department leads the acquisition and delivery of complex technology projects. This role contributes directly to Ooredoo's strategic AI portfolio by aligning AI solution design with customer use cases and business objectives, while proactively identifying new opportunities across the market. The Assistant Director serves as a bridge between technical delivery and commercial success. For more details, please click here.</p>
About You:<p><b><br>
Technical Expertise:
</b></p><ul><li><p>Minimum 12 years experience.
</p></li><li><p>10+ years in technical consulting, solution architecture, or infrastructure engineering.
</p></li><li><p>3+ years in AI/ML project delivery or AI infrastructure design.
</p></li><li><p>Experience in hybrid cloud, data center, and GPU computing architectures.
</p></li><li><p>Deep understanding of enterprise IT environments and compliance frameworks (e.g., Q-CERT, CRA).
</p></li><li><p>Strong business acumen and ability to influence technology decisions across non-technical stakeholders
</p></li><li><p>Proficiency in AI/ML workflows and APIs (OpenAI, Azure AI, Hugging Face).
</p></li><li><p>Deep knowledge of networking (including InfiniBand) and security architectures in enterprise/cloud contexts.
</p></li><li><p><b>Professional Experience:
</b></p></li><li><p>Experience working in or with telecom, government, or regulated industries.
</p></li><li><p>Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).
</p></li></ul><p><b>Excellent Analytical and Problem-Solving Skills</b>:
</p><ul><li><p>Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution
</p></li></ul><p><b>Strong Communication and Interpersonal Skills
</b></p><ul><li><p>Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly</p></li></ul>
Minimum Qualifications:<ul><li><p><br>
Bachelor's degree in IT, Computer Science, or Engineering.</p></li></ul></div>

Capgemini

<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><h2 class="jobSectionHeader"><b>Your Role
</b></h2></div><div><ul><li>Lead the design and delivery of advanced AI and machine learning solutions that are scalable, robust, and aligned with business objectives.
</li><li>Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to architect innovative systems leveraging machine learning, deep learning, NLP, and generative AI technologies.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile
</b></h2></div><div><ul><li>12+ years of experience in designing and delivering AI/ML solutions with a strong foundation in machine learning, deep learning, NLP, and generative AI.
</li><li>Proven expertise in architecting scalable AI systems, collaborating with cross-functional teams, and aligning technical solutions with strategic business goals.
</li><li>Strong analytical, problem-solving, and communication skills with hands-on proficiency in deep learning frameworks (TensorFlow, PyTorch), LLMs (GPT, BERT, Gemini), and cloud platforms (AWS, GCP, Azure).
</li><li>Adept at thriving in dynamic environments while driving innovation, technical leadership, and continuous improvement in AI/ML solution delivery.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>What you will love working at Capgemini
</b></h2></div><div><ul><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.
</li><li>Collaborate with global teams of data scientists, engineers, and stakeholders to build intelligent systems using machine learning, deep learning, NLP, and generative AI.
</li><li>Clear career progression paths from delivery leadership to strategic roles in architecture and consulting.
</li><li>Be part of mission-critical initiatives that drive efficiency, compliance, and innovation for Fortune 500 clients.
</li></ul></div></div></div><p>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.</p></div>

AI Solution Architect

PwC Middle East

<div>
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 Advisory
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  Job Description &amp; Summary
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 The PwC ETIC is looking for an experienced Applied AI Solution Architect to join our team. The successful candidate will be an integral part of our team and will be responsible for providing technical consulting services to our clients. As a consultant, you will be able to envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline.
 <br/>
 <br/>
 The successful candidate must have a solid technical background in the workflow and pipeline architectures of ML and deep learning. Other responsibilities will include providing guidance to clients on business requirements and developing solutions based on best practices and industry trends.
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 The ideal candidate must have superior communication and problem-solving skills, as well as deep expertise in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). They must also have a passion for delivering solutions that exceed the needs of our clients.
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 We are looking for someone who is a team player, proactive, and able to effectively manage multiple tasks. The successful candidate should also have excellent presentation skills and be able to quickly adapt to changing customer requirements.
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 <br/>
 If you believe you have the skills and experience to become a successful part of our team, we would be delighted to hear from you.
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 Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value
 <br/>
 <br/>
 <strong>
  Requirements
 </strong>
 : - Degree in Computer Science or related field - Minimum 8+ years of experience in Applied AI Solution Architecture - Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch - Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools - Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions
 <br/>
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 <strong>
  Preferable
 </strong>
 : To have a minimum of a master&rsquo;s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.
 <br/>
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 <strong>
  What we offer:
 </strong>
 Flexible working arrangements (Flex-work, Home Office) Refer-a-Friend &ndash; get a bonus in the employee referral program Wide range of leading-edge trainings (including language courses) Family Medical Insurance Yearly Bonus At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, &lsquo;The PwC Professional&rsquo;. The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.
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 <strong>
  Whole leadership
 </strong>
 : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.
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 <strong>
  Global acumen:
 </strong>
 The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
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  Technical and Digital :
 </strong>
 Focus on fast growing technologies and how to make use of them towards digital transformation.
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  Business acumen:
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 The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.
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  Relationships:
 </strong>
 The ability to build relationships of high value which are genuine and meaningful.
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  Education
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  Travel Requirements
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  Available for Work Visa Sponsorship?
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 No
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  Government Clearance Required?
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 No
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  Job Posting End Date
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ETIC, AI Solution Architect- Manager

Yokogawa

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team<br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Purpose:</div><div></div><div>
We are seeking a highly skilled and motivated AI Solutions Engineer to join our team driving digital transformation in the Oil &amp; Gas and Petrochemicals industries. In this role, you will be responsible for designing, developing, and deploying AI and machine learning solutions that optimize operations across upstream, midstream, and downstream segments. This position serves as a bridge between data science and industrial process engineering, delivering impactful solutions to real-world challenges.</div><div>
The AI/ML Digital Solution Architect will be responsible for architecting AI/ML solutions and supporting analytical implementations for production operations in Oil &amp; Gas, Petrochemicals, and other related domains. This individual will also own the business outcomes and implementation strategy of AI/ML initiatives, while supporting the Digital Enterprise Business Unit and Solution Division in establishing a competitive differentiation in the high-growth Middle East region.</div><div></div><div>
Key Responsibilities &amp; Accountabilities:</div><div></div><ul><li>
Conduct high-level technical analysis of customer challenges in the Oil &amp; Gas and Petrochemical industries, leveraging AI/ML technologies. This includes gathering requirements, performing gap analyses, and exploring AI/ML applications to address customer needs.</li><li>
Identify business cases, support implementation, and ensure successful scaling of targeted AI applications within the assigned industry or domain.</li><li>
Engage with customers in designated technical areas to co-develop solutions that address process challenges and support business growth through AI and, where applicable, APC/RTO technologies.</li><li>
Collaborate with domain experts to identify opportunities for AI-driven process optimization, predictive maintenance, and operational efficiency improvements.</li><li>
Develop and validate machine learning models using time-series, sensor, and operational data (e.g., SCADA, DCS, PI System).</li><li>
Define solution architectures and develop detailed design specifications.</li><li>
Proactively engage with customers to define the overall technical approach for AI implementations.</li><li>
Demonstrate the ability to effectively collaborate with sales teams and contribute to securing customer orders.</li></ul><div></div><div>
Required Qualification and Experience:</div><div></div><ul><li>
Bachelor&rsquo;s degree in Process or Chemical Engineering and a minimum of 15 years of industry experience in AI-based solution development, engineering disciplines, and technical sales.</li><li>
At least 7 years of hands-on experience in designing or implementing APC or AI/ML applications within the Oil &amp; Gas or Petrochemical industries. Experience with AI for control systems is a plus.</li><li>
Strong analytical and problem-solving skills, with a focus on developing practical and scalable solutions.</li><li>
In-depth knowledge of the Oil &amp; Gas, Petrochemicals, or specialized chemical domains is essential.</li><li>
Willingness and ability to travel internationally across regions as required.</li><li>
Excellent communication skills in English, both written and verbal.</li><li>
Demonstrated resilience and persistence in driving projects to completion involving multiple stakeholders.</li><li>
Awareness of current trends and developments in the AI market.</li></ul><div></div><div>
Skills:</div><div></div><ul><li>
Strong hands-on experience with AI and Machine Learning technologies, including automated data collection, historian systems (OSI PI is a plus), data visualization, manufacturing quality and efficiency, SCADA systems, automated decision-making, workflow automation, database applications, and scheduling tools.</li><li>
Proficient in Python programming languages, with fluency in implementing solutions.</li><li>
Understanding of basic machine learning concepts (Supervised, Unsupervised learning, Reinforcement Learning, Large Language Model) and ability to use concrete algorithms (Linear Regression, K-Means, Support Vector Machine, XGBoost, etc) to implement solution in Python.</li><li>
Ability to use Cloud-based Machine Learning platform (e.g., Azure ML Studio, AWS SageMaker) is a plus.</li><li>
Ability to anticipate organizational needs for change and actively support company-wide programs, strategies, and initiatives.</li><li>
Capable of identifying and developing industry- or application-specific digital technologies suitable for business use.</li><li>
Skilled in creating environments that foster successful customer interactions and high satisfaction.</li><li>
Proactive in early engagement with customers to explore and establish long-term partnership opportunities.</li><li>
Strong persuasive and influencing skills, with the ability to guide customers toward solution adoption and drive project closure.</li><li>
Proven ability to build trust and credibility with stakeholders, facilitating alignment and decision-making across complex engagements.</li><li>
Experience with physical process simulators such as OmegaLand or Petro-SIM is preferred.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

AI/ML Solution Architect

XenonStack Moments

<div>
 <strong>
  About Xenonstack
  <br/>
  <br/>
 </strong>
 XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights.
 <br/>
 <br/>
 <ul>
  <li>
   Agentic Systems for AI Agents: akira.ai
  </li>
  <li>
   Vision AI Platform: xenonstack.ai
  </li>
  <li>
   Inference AI Infrastructure for Agentic Systems: nexastack.ai
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE OPPORTUNITY
  <br/>
  <br/>
 </strong>
 We are seeking a
 <strong>
  Solution Architect &ndash; Agentic Systems
 </strong>
 to design and deliver
 <strong>
  end-to-end AI agent solutions
 </strong>
 tailored to enterprise customer needs.
 <br/>
 <br/>
 This role blends
 <strong>
  technical architecture, solution design, and customer collaboration
 </strong>
 &mdash; ensuring deployments of multi-agent systems, RAG pipelines, and AI orchestration frameworks are secure, scalable, and business-aligned.
 <br/>
 <br/>
 If you thrive on bridging
 <strong>
  business objectives
 </strong>
 with
 <strong>
  deep technical design
 </strong>
 , and you want to define the blueprint for enterprise AI adoption, this role is for you.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solution Design &amp; Architecture
  </li>
  <ul>
   <li>
    Translate customer requirements into scalable, compliant AI agent architectures.
   </li>
   <li>
    Design workflows using multi-agent orchestration, A2A messaging, and tool chaining.
   </li>
   <li>
    Define context and memory strategies for long-running AI processes.
   </li>
  </ul>
  <li>
   Integration Leadership
  </li>
  <ul>
   <li>
    Architect API, RAG, and data pipeline integrations with enterprise systems (ERP, CRM, SOC tools).
   </li>
   <li>
    Ensure interoperability between AI agents, vector DBs, and knowledge graphs.
   </li>
  </ul>
  <li>
   Performance &amp; Scalability
  </li>
  <ul>
   <li>
    Optimize latency, token usage, and model selection for cost-effective deployments.
   </li>
   <li>
    Design for high availability and fault tolerance in production.
   </li>
  </ul>
  <li>
   Security &amp; Compliance
  </li>
  <ul>
   <li>
    Embed governance, auditability, and data privacy controls in all solutions.
   </li>
   <li>
    Ensure adherence to industry regulations (GDPR, PCI-DSS, HIPAA as applicable).
   </li>
  </ul>
  <li>
   Customer Engagement
  </li>
  <ul>
   <li>
    Act as a trusted advisor for client technical teams.
   </li>
   <li>
    Conduct workshops, POCs, and design reviews to validate architectural choices.
   </li>
  </ul>
  <li>
   Collaboration &amp; Delivery Support
  </li>
  <ul>
   <li>
    Work closely with Forward Deployed Engineers, AI Interaction Engineers, and Agent Architects to ensure smooth delivery.
   </li>
   <li>
    Provide architectural oversight during implementation phases.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <strong>
  SKILLS &amp; QUALIFICATIONS
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years in solution architecture, enterprise software, or AI/ML engineering.
  </li>
  <li>
   Strong understanding of LLM architectures, embeddings, and agent orchestration frameworks (LangChain, LangGraph, AgentBridge).
  </li>
  <li>
   Proven experience designing RAG pipelines, hybrid retrieval systems, and knowledge graph integrations.
  </li>
  <li>
   Proficiency in Python and experience with API design/integration.
  </li>
  <li>
   Cloud-native architecture skills (AWS, GCP, Azure, Kubernetes).
  </li>
  <li>
   Strong communication skills for both technical and executive audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Good-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in BFSI, GRC, SOC, or FinOps.
  </li>
  <li>
   Familiarity with AI observability tools (Prometheus, OpenTelemetry, TruLens, Ragas).
  </li>
  <li>
   Exposure to reinforcement learning (RLHF, RLAIF) for agent optimization.
  </li>
  <li>
   Background in AI governance frameworks and Responsible AI practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Career Growth &amp; Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Continuous Learning &amp; Growth
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Certifications in AI architecture, orchestration frameworks, and enterprise integration.
  </li>
  <li>
   Opportunities to lead strategic, cross-industry AI transformation projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Recognition &amp; Rewards
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Incentives for high-impact solution design and customer success.
  </li>
  <li>
   Path to Principal Architect or Enterprise AI Architect roles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Benefits &amp; Well-Being
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Comprehensive medical insurance and project-based allowances.
  </li>
  <li>
   Cab facilities for women employees and special project perks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  XENONSTACK CULTURE &ndash; JOIN US &amp; MAKE AN IMPACT!
  <br/>
  <br/>
 </strong>
 We foster a culture of cultivation with bold, human-centric leadership principles. We value
 <strong>
  deep work
 </strong>
 ,
 <strong>
  experimentation
 </strong>
 , and
 <strong>
  ownership
 </strong>
 in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems.
 <br/>
 <br/>
 <strong>
  Product Values
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Obsessed with Adoption &ndash; Making AI accessible and enterprise-ready.
  </li>
  <li>
   Obsessed with Simplicity &ndash; Turning complexity into seamless, intuitive AI experiences.
   <br/>
   <br/>
  </li>
 </ul>
 Be a part of our vision to accelerate the world&rsquo;s transition to
 <strong>
  AI + Human Intelligence
 </strong>
 .
</div>


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