principal architect e2e wms

Blue Yonder

<div><h2 class="jobSectionHeader"><b>End-to-End Principal Architect - WMS</b></h2><p></p><p>
Job Profile Summary<br>
E2E Principal Architect is a self-driven associate who will lead the end-to-end implementation of large footprint Blue Yonder solutions for Warehouse Management Solutions starting with the overall architecture of the solution, partnering with all key stakeholders to drive the implementation of all the multiple business releases within the program, be the single point of contact for all customer business stakeholders on the overall solution footprint.</p><p></p><h3 class="jobSectionHeader"><b>
Job Description</b></h3><p></p><p><b>
Overview</b></p><p>
The End-to-End Principal Architect will work within the Consulting Services team at Blue Yonder to lead and manage the end-to-end solution design and implementation of Cognitive Execution Solutions, and Cognitive Warehouse Management Solutions for clients. The End-to-End Principal Architect will be responsible for ensuring project success by effectively communicating with clients, managing project timelines, and leading solution teams as part of a project. They will be accountable for the overall functional and technical designs, implementation and delivery of end-to-end solutions, and will work closely with the clients and the project teams to ensure that the solutions align with the client's business objectives and meet their requirements.</p><p></p><p><b>
Our current technical environment</b></p><p>
We leverage SaaS microservices and various Blue Yonder solutions and integrate with client solutions and landscapes.</p><p></p><p><b>
What you will do:</b></p><ul><li>
Serve as the primary point of contact for clients throughout the project lifecycle</li><li>
Develop and manage project timelines and budgets</li><li>
Lead solution teams and ensure project deliverables meet client expectations</li><li>
Lead integration of the core product to develop solutions utilizing Platform</li><li>
Identify and manage project risks and issues</li><li>
Act as an internal consultant to other teams within Blue Yonder</li><li>
Design and implement end-to-end solutions based on client requirements and best practices</li><li>
Provide functional and technical guidance and mentorship to junior team members</li><li>
Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning</li><li>
Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet their technical requirements.</li><li>
Collaborate with the project managers, delivery partners, and other stakeholders to ensure that the solutions are delivered on-time, on-budget, and to the client's satisfaction.</li></ul><p></p><p><b>
What we are looking for (Team Specific Qualifications &amp; Education):</b></p><ul><li>
15 + years of experience in solution architecture and consulting or a related field</li><li>
Expertise in designing and implementing Blue Yonder (micro service based) Warehouse Management solutions</li><li>
Expertise in designing and implementing at least one other Execution solution &ndash; Warehouse Labour Management, Transportation Management, Order and/ or Returns Management</li><li>
Proven experience leading and managing solution projects</li><li>
Strong communication, interpersonal and presentation skills to be able to interact with customer at all levels, from CIO and Senior Supply Chain Leader downward.</li><li>
Ability to think strategically and solve complex problems</li><li>
Strong technical skills in one or more areas such as cloud infrastructure, software development, data engineering, and data analytics.</li><li>
Experience with project management tools and methodologies</li><li>
Strong ability to work in a fast-paced and dynamic environment</li><li>
Strong understanding of the software development life cycle and experience with Agile methodologies.</li><li>
Experience working with Supply Chain, logistics, retail and manufacturing industries would be a plus.</li></ul><p></p><p><b>
Our Values</b></p><p><br>
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values</p><p></p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</p></div>

Principal Architect (E2E) - WMS

Schneider Electric

<div>Job Description:
<div><b>
Job title - Principal, Services AI Solution Lead</b></div><div><b>
Exp 10-12 yrs</b></div><div><b><br>
Location - Bangalore (Hybrid)</b></div><div><b>
Job Purpose</b></div><div><br>
Within the Digital Customer Relationship organization, you are responsible for defining how Artificial Intelligence can be leveraged within your capability scope to answer business needs while ensuring coherence, scalability, maintainability and alignment with enterprise standards.</div><div></div><div><br>
You act as the AI solution authority for your capability. You help translate validated business requirements into AI-enabled solution options and formal recommendation papers, covering AI embedded in existing platforms, vendor capabilities, low-code / pro-code developments, autonomous agents and AI-native platforms.</div><div></div><div><br>
Your mission is to ensure that the right AI solution pattern is selected and designed before delivery starts. You work closely with Business Product Leaders, Business Process Owners, E2E Business Architects, Digital Product Owners, Application Analysts, E2E Solution Design Leads, DCR Architects, Technical Leads, AI Hub, Data Office, platform owners and delivery teams.</div><div></div><div><br>
You do not replace the Business Product Leader, the Digital Product Owner, the E2E Solution Design Lead or the Technical Lead. You complement them by bringing AI-specific architecture, assessment and design expertise into the existing Services Ways of Working.</div><div>
Your impact will be measured by the quality of AI solution decisions, the reuse of scalable patterns, the clarity of architecture recommendations, and the ability of delivered AI solutions to move safely into run mode.</div><div><b><br>
Key Responsibilities</b></div><div><b><br>
AI Opportunity and Feasibility Assessment</b></div><ul><li>
Analyze validated business requirements and identify whether AI can bring a relevant, measurable and feasible answer to the business need.</li><li>
Support early discovery and handover discussions by clarifying AI opportunities, constraints, prerequisites and risks.</li><li>
Assess data readiness, process readiness, platform readiness and operational readiness before recommending an AI solution path.</li><li>
Challenge solution assumptions where AI is not the right answer, or where a simpler non-AI solution could deliver sufficient business value.</li></ul><div><b>
AI Solution Option Assessment</b></div><ul><li>
Prepare structured AI assessment papers comparing the relevant solution options: embedded AI in existing platforms, vendor AI capability, low-code AI, pro-code AI, autonomous agents, AI-native platforms and reuse of existing AI assets.</li><li>
Evaluate each option against business fit, user experience, technical feasibility, integration impact, data needs, cybersecurity, compliance, cost, scalability, maintainability and run complexity.</li><li>
Document clear recommendations, assumptions, trade-offs and decision points to support build-versus-buy decisions at Services Digital Experience or DCR leadership level.</li></ul><div><b><br>
AI Solution Design</b></div><ul><li>
Define the AI solution pattern within the capability scope, including where the intelligence is executed, which platforms are impacted, how users interact with the solution, and how decisions or actions are controlled.</li><li>
Design AI interaction patterns, agent flows, human-in-the-loop mechanisms, fallback scenarios, knowledge sources, data flows, integration points and monitoring requirements.</li><li>
Ensure the AI design is consistent with existing E2E solution flows, application responsibilities, architectural standards and target business architecture.</li><li>
Contribute to Functional and Technical Design Documents by providing AI-specific architecture input, assumptions, constraints and non-functional requirements.</li></ul><div></div><div><b><br>
Architecture Alignment and Governance</b></div><ul><li>
Collaborate with the Global AI Architect, AI Hub, DCR Architects, Data Office, cybersecurity and platform owners to ensure compliance with enterprise AI principles and guardrails.</li><li>
Participate in the AI Architecture Board and other governance forums for complex, strategic or cross-platform initiatives.</li><li>
Promote reuse of approved AI patterns, agent frameworks, connectors, data patterns, monitoring approaches and integration standards.</li></ul><div></div><div><b><br>
Delivery Support and Technical Decision Enablement</b></div><ul><li>
Support Digital Product Owners, Application Analysts, E2E Solution Design Leads, Technical Leads and delivery teams during backlog definition, solution scoping and implementation preparation.</li><li>
Clarify AI architecture choices, constraints, prerequisites, dependencies and risks during delivery planning and execution.</li><li>
Support issue resolution when AI behavior, data dependencies, model outputs, integrations or agent flows create delivery or quality risks.</li></ul><div></div><div><b><br>
AI Run, Monitoring and Support Readiness</b></div><ul><li>
Define AI-specific run requirements before go-live, including AI agent ownership, prompt / configuration ownership, knowledge source ownership, monitoring needs, escalation paths and support levels.</li><li>
Ensure AI agents and AI-enabled solutions are designed with observability, traceability, quality monitoring, feedback loops and continuous improvement routines.</li><li>
Support transition to run by ensuring documentation, operating procedures, known limitations and ownership models are explicit and accepted.</li></ul><div></div><div><b><br>
Requirements</b></div><div><b>
Qualifications</b></div><ul><li>
Master degree in Engineering, Computer Science, Data Science, Artificial Intelligence, Digital Technologies or equivalent experience.</li><li>
8&ndash;12+ years in architecture, software engineering, platform engineering, solution design or digital transformation roles.</li><li>
Experience designing enterprise solutions involving multiple applications, integrations, data flows and non-functional constraints.</li><li>
Practical understanding of AI technologies such as copilots, embedded AI, RAG, AI agents, workflow automation, low-code / pro-code AI developments and AI observability.</li></ul><div><b>
Skills and behaviors</b></div><ul><li>
Strong architecture and system design mindset, with the ability to translate business problems into pragmatic AI solution patterns.</li><li>
Strong analytical capability to compare options, expose trade-offs and make fact-based recommendations.</li><li>
Ability to simplify complex AI concepts for business, product and delivery stakeholders.</li><li>
Good understanding of data, integration, cybersecurity, user experience and run implications of AI solutions.</li><li>
Curious, pragmatic and continuously learning about emerging AI technologies and platform vendor capabilities.</li><li>
Strong documentation and presentation skills, especially for assessment papers and architecture decision records.</li><li>
Ability to influence without formal authority and work effectively in a matrix organization.
</li></ul>(External) English Qualifications:
<div><b>
Success measures</b></div><ul><li>
AI solution assessments are complete, structured and useful for decision-making.</li><li>
Recommended AI solution patterns are scalable, maintainable, secure and aligned with enterprise guardrails.</li><li>
Build-versus-buy decisions are supported by clear trade-offs and documented rationale.</li><li>
Capabilities reuse common AI patterns instead of creating fragmented solutions.</li><li>
AI solutions have clear data, integration, monitoring, ownership and run models before go-live.</li><li>
Delivery teams receive timely and actionable architecture guidance for AI initiatives.</li></ul><br>
<div></div>
Local Benefits (English):
<p><b>
Rewards designed for you</b></p><p>
Our Total Rewards is our way of saying: We see you and we value you. It&rsquo;s more than just pay and benefits&mdash;it&rsquo;s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we&rsquo;re here for what matters most to you. Discover more at our Career Page.</p><ul><li>Country-specific programs and initiatives may be available.</li></ul>
(External) English Company Boiler Plate:<p></p><p><b><br>
Looking to make an IMPACT with your career?</b></p><p>
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values &ndash; Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork &ndash; starts with us.</p><p>
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.</p><p>
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.</p><p>
Become an IMPACT Maker with Schneider Electric &ndash; apply today!</p><p>
&euro;40 billion global revenue<br>
+9% organic growth<br>
150 000+ employees in 100+ countries</p><p></p><div><br>
You must submit an online application to be considered for any position with us. This position will be posted until filled.</div><div></div><div><i><br>
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and &lsquo;inclusion&rsquo; is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.</i></div><div><br>
</div><div><i>At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter </i><i>here</i><br>
<br>
<i>Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.</i></div></div>

Principal, Services AI Solution Lead

LatentView Analytics

<div></div><div><div><div><p><b>Designation : </b><b>Senior Analyst</b></p>
<p><b>Level : L2</b></p>
<p><b>Location : </b><b>Bengaluru, Karnataka , India (BLR)</b></p>
<p><b>Experience : 5 to 6 Years</b></p><br>
<p></p><br>
<p><b>Job Role </b>:</p>
<p>We are seeking a highly motivated and experienced Software Quality Assurance Engineer to drive quality engineering initiatives across customer-facing products and services. This role will focus on End-to-End (E2E) automation, Customer Journey Testing, and AI-enabled Quality Engineering using modern automation technologies including Playwright, TypeScript, and Applied AI solutions.</p><br>
<p></p><br>
<p><b>Primary Skills:</b> Strong hands on exp in Manual testing (Functional Testing, Regression Testing, E2E Testing, Integration Testing, Performance Testing, API Testing) and building test automation using selenium, Playwright and TypeScript</p>
<p>Experience/very good understanding of Salesforce CRM/ Service cloud support capabilities like case, chat, email, phone etc..</p><br>
<p></p><br>
<p><b>Minimum Qualifications:</b></p>
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline</li></ul>
<ul><li>5+ years of experience in Software Quality Assurance and Test Automation</li></ul>
<ul><li>Strong hands-on experience with Playwright and TypeScript</li></ul>
<p>-Experience/very good understanding of Salesforce CRM/ Service cloud support -capabilities like case, chat, email, phone etc..</p>
<ul><li>Experience building and maintaining modern automation frameworks from the ground up</li></ul>
<ul><li>Strong understanding of End-to-End (E2E) testing methodologies and customer journey validation</li></ul>
<ul><li>Experience testing web applications, APIs, and distributed systems</li></ul>
<ul><li>Knowledge of CI/CD pipelines and DevOps practices</li></ul>
<ul><li>Experience with Git, Azure DevOps, GitHub Actions, Jenkins, or similar platforms</li></ul>
<ul><li>Strong analytical, debugging, and problem-solving skills</li></ul>
<ul><li>Excellent communication and collaboration abilities</li></ul>
<ul><li>Experience applying AI and Generative AI technologies to Quality Engineering workflows</li></ul>
<ul><li>Experience with cloud platforms such as AWS, Azure, or Google Cloud</li></ul>
<ul><li>Familiarity with performance, accessibility, and security testing</li></ul>
<ul><li>Experience working in Agile/Scrum environments</li></ul>
<ul><li>Experience with test data management and environment orchestration</li></ul>
<p><b>Automation &amp; Testing</b></p>
 <ul><li>Playwright</li></ul>
 <ul><li>TypeScript</li></ul>
 <ul><li>API Testing</li></ul>
 <ul><li>Functional Testing</li></ul>
 <ul><li>End-to-End Testing</li></ul>
 <ul><li>Customer Journey Testing</li></ul>
 <ul><li>Regression Testing</li></ul>
 <ul><li>Integration Testing</li></ul>
 <ul><li>Test Framework Design</li></ul></div></div></div>
<br><div><div>Job Snapshot</div>
<div><div><div>Updated Date</div>
<div>29-08-2026</div>
</div><div><div>Job ID</div>
<div>J_5784</div>
</div><div><div>Location</div>
Bengaluru, Karnataka, India
</div><div><div>Experience</div>
<div>5 - 6 Years</div>
</div><div><div>Employee Type</div>
<div>Permanent</div></div></div></div>

Senior Analyst

Tandem Search

<div>
 <p>
  Principal Computer Vision &amp; AI Engineer
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Al Khobar, Saudi Arabia
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role Overview
 </p>
 <p>
  We are looking for a highly experienced
  <strong>
   Principal Computer Vision &amp; AI Engineer
  </strong>
  to lead the technical direction of production AI systems operating over
  <strong>
   live video streams in real-world environments
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on technical leadership role rather than a people-management position. You will architect, build, optimise and deploy advanced
  <strong>
   computer vision, video understanding and multimodal/Vision-Language Model (VLM)
  </strong>
  systems while providing technical direction to senior engineers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect and build production
   <strong>
    computer vision and video analytics systems
   </strong>
   .
  </li>
  <li>
   Develop solutions across
   <strong>
    object detection, segmentation, tracking, event understanding and spatial reasoning
   </strong>
   .
  </li>
  <li>
   Design and deploy
   <strong>
    VLM/multimodal AI systems
   </strong>
   operating over live and recorded video.
  </li>
  <li>
   Own the full ML lifecycle: data strategy, experimentation, fine-tuning, evaluation, deployment and monitoring.
  </li>
  <li>
   Optimise models for
   <strong>
    edge and cloud inference
   </strong>
   , balancing accuracy, latency, throughput and cost.
  </li>
  <li>
   Establish automated model evaluation, regression testing and production monitoring.
  </li>
  <li>
   Develop agentic AI systems capable of reasoning over video and interacting safely with tools, APIs, cameras and sensors.
  </li>
  <li>
   Set technical architecture and engineering standards while remaining highly hands-on with code.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What We're Looking For
 </p>
 <ul>
  <li>
   Deep hands-on experience in
   <strong>
    Computer Vision / Video AI
   </strong>
   .
  </li>
  <li>
   Strong production experience working with
   <strong>
    live or streaming video
   </strong>
   .
  </li>
  <li>
   Strong
   <strong>
    PyTorch and/or TensorFlow
   </strong>
   experience.
  </li>
  <li>
   Expertise across detection, segmentation and tracking using technologies such as
   <strong>
    YOLO, DETR/RT-DETR, GroundingDINO or equivalent
   </strong>
   .
  </li>
  <li>
   Production experience with
   <strong>
    Vision-Language Models / multimodal models
   </strong>
   such as Qwen-VL, InternVL, LLaVA, Gemini or equivalent.
  </li>
  <li>
   Experience deploying and optimising AI models in production.
  </li>
  <li>
   Exposure to
   <strong>
    edge AI
   </strong>
   , ideally TensorRT, ONNX Runtime, NVIDIA Jetson or similar.
  </li>
  <li>
   Strong understanding of model evaluation, MLOps, active learning and production monitoring.
  </li>
  <li>
   Ability to operate as a
   <strong>
    Principal/Staff-level technical authority
   </strong>
   while remaining hands-on.
  </li>
 </ul>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   Agentic AI / tool-calling systems such as LangGraph, LangChain or equivalent.
  </li>
  <li>
   Real-time CCTV, camera or video-streaming systems.
  </li>
  <li>
   Industrial, construction, robotics, autonomous systems or safety-critical AI experience.
  </li>
  <li>
   RAG / multimodal retrieval and vector search.
  </li>
  <li>
   Self-hosted VLM/LLM serving such as vLLM or NIM.
  </li>
 </ul>
 <p>
  <strong>
   Critical requirement:
  </strong>
  Candidates must have substantial hands-on experience with
  <strong>
   video-based computer vision systems
  </strong>
  . Pure GenAI/LLM profiles without strong production video/CV experience will not be suitable.
 </p>
</div>


Principal AI Engineer

HCLTech

Bangalore, Karnataka
<br>Job Summary
<br><br>
AI Observability Principal Architect(18+ Years)
<br><br>
Description
<br><br>
The AI Observability Principal Architect is responsible for defining and delivering end-to-end observability and AIOps capabilities across enterprise applications and platforms. The role focuses on enabling proactive detection, intelligent event correlation, and automated incident response , improving system reliability and operational efficiency.
<br><br>
This role will lead observability strategy, standardization, and implementation across teams, ensuring clear visibility into system health, business workflows, and performance outcomes. The lead will work closely with SRE, application, infrastructure, and service management teams to embed outcome-driven observability (CUJs, SLIs/SLOs) and drive continuous improvement in incident detection and resolution.
<br><br>
Key Responsibilities
<br><br>
Assignment Deliverables
<br><br>
Define and implement observability strategy, standards, and roadmap
<br>Establish telemetry framework (logs, metrics, traces) and instrumentation standards
<br>Define Critical User Journeys (CUJs) and map Service Level Indicators (SLIs) / SLOs
<br>Enable actionable alerting aligned to user/business impact
<br>Implement alert-to-incident automation with correct routing and ownership
<br><br>
<b>Drive AIOps capabilities :</b><br>
Event correlation and alert noise reduction
<br>Root-cause-based incident generation
<br>Predictive detection and anomaly identification
<br>Build and optimize observability dashboards for operations and leadership visibility
<br>Enable automation and self-healing playbooks for recurring incidents
<br>Lead major incident support and post-incident improvements
<br><br>
Ensure continuous improvement through observability lifecycle management
<br><br>
Skill Requirements
<br><br>
Required Skills
<br><br>
18+ years experience in IT Operations / SRE / Observability / Platform Engineering
<br><br>
<b>Strong expertise in:</b><br>
Observability (logs, metrics, traces, distributed tracing)
<br>SRE practices (SLIs, SLOs, error budgets)
<br>Incident management and automation
<br><br>
<b>Experience in AIOps / Event Management :</b><br>
Event correlation, alert deduplication, noise reduction
<br>Hands-on experience with observability platforms and ITSM integrations
<br><br>
<b>Strong understanding of:</b><br>
Distributed systems and cloud environments
<br>Telemetry pipelines and data integration
<br>Experience in designing automation workflows, runbooks, and self-healing mechanisms
<br>Strong stakeholder management and ability to work across application, infra, and operations teams
<br>Other Requirements
<br><br>
Nice to Have
<br><br>
Experience with Azure observability stack / OpenTelemetry
<br>Experience with ServiceNow ITOM / AIOps
<br>Exposure to AI-driven observability (anomaly detection, predictive analytics)
<br>Experience in building executive dashboards and reporting frameworks
<br><b>#body.unify div.unify-button-container .unify-apply-now:</b> focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Senior Technical Architect

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>We are seeking a talented and driven E2E Planner to join our team. The ideal candidate will be responsible for collecting, analysing, and interpreting complex data sets to drive informed business decisions. You will work closely &amp; Directly with the Client &amp; cross-functional teams to identify trends, patterns, and insights that will contribute to our company's growth.</p>
<p><b>In this role you will play a key role in:</b></p>
<ul><li>For changes within operational boundaries (contractual limits): Reviews/discusses the recommendations from L2 E2E specialist and Material specialist, SU, procurement and WH&amp;T, and confirms norm changes</li>
<li>Participates in the MTCP/LTCP meeting along with the L2 E2E specialist to support SC plans</li>
<li>For changes beyond the operational boundaries, brings recommendation to a monthly meeting with the Demand Fulfillment Manager (L1) for discussion and sign-off</li>
<li>Shares the residual projections with Finance (L1)</li>
<li>Discuss the L2 KPIs with L1 Demand Fulfillment Manager and Plan Director (L1) on a monthly basis</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile</b></h2>
</div><div><ul><li>Experienced in Demand Planning and Supply Planning with 9 to 12 years</li>
<li>Team lead experience</li>
<li>Problem solving know-how</li>
<li>Analytic skills</li>
<li>Distribution Plan from Sourcing Units to Distribution Centers</li>
<li>3 to 6 years expereince require.</li>
</ul><p><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></p>
<ul><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>We&rsquo;re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.</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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

End To End Planning Specialist

Meraki Labs

<div><h2 class="jobSectionHeader"><b>About Nurix AI</b></h2><p>
At Nurix AI, we are pioneering the Autopilot Enterprise. Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership. Backed by $27.5M in funding from Accel, General Catalyst, and Meraki Labs, and led by Mukesh Bansal, we are India's first scaled enterprise AI company, delivering cutting-edge AI solutions that integrate seamlessly into workflows across industries like Retail, Insurance, Education &amp; Home Services. Join us in shaping the future of enterprise AI &mdash; where every interaction is smarter, faster, and human-like.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
As Principal Engineer at Nurix AI, you will be the cornerstone of our technical infrastructure, enabling our AI agents to scale reliably and securely in production. You will design and oversee distributed systems that deliver low-latency, high-availability voice and chat AI, while meeting enterprise-grade security and compliance requirements. This is a hands-on leadership role focused on architecture, systems design, and performance engineering &mdash; ensuring that Nurix's groundbreaking AI research translates into robust, real-world deployments.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Systems Architecture &amp; Scalability</b></h3><ul><li><p>
Design and evolve the end-to-end infrastructure supporting ASR/TTS, LLM orchestration, Agentic RAG, and self-learning workflows.</p></li><li><p>
Architect low-latency pipelines for real-time conversational AI, ensuring sub-second response times across voice and chat.</p></li><li><p>
Build multi-cloud, distributed systems (AWS, GCP, Azure) with elastic scaling to handle spiky workloads.</p></li></ul><h3 class="jobSectionHeader"><b>
Reliability &amp; Performance Engineering</b></h3><ul><li><p>
Define and enforce SLAs around latency, uptime, and throughput for AI services.</p></li><li><p>
Drive observability, monitoring, and resilience strategies to handle failures gracefully.</p></li><li><p>
Optimize GPU/TPU utilization for cost-effective training and inference.</p></li></ul><h3 class="jobSectionHeader"><b>
Security &amp; Compliance</b></h3><ul><li><p>
Partner with InfoSec to embed security-by-design across all AI/ML workloads.</p></li><li><p>
Implement controls to protect sensitive enterprise data while meeting global compliance standards (SOC2, ISO 27001, GDPR, DPDP).</p></li></ul><h3 class="jobSectionHeader"><b>
Collaboration &amp; Leadership</b></h3><ul><li><p>
Work closely with the Head of AI to translate cutting-edge research into production-grade platforms.</p></li><li><p>
Provide technical mentorship to engineering teams, ensuring best practices in distributed systems and infra design.</p></li><li><p>
Evaluate and adopt emerging technologies (e.g., SSMs, inference optimizers like Triton, Riva, vLLM) to stay ahead of the curve.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications &amp; Skills</b></h2><ul><li><p>
10 - 15 years of experience in large-scale systems architecture, with at least 5 years in principal architect-level roles.</p></li><li><p>
Proven expertise in distributed systems, cloud-native architectures, and real-time pipelines.</p></li><li><p>
Hands-on experience with containerization, orchestration (Kubernetes), and microservices.</p></li><li><p>
Strong background in scalable ML infrastructure, including model serving, GPU/accelerator utilization, and CI/CD for ML.</p></li><li><p>
Demonstrated ability to architect systems with low latency (&lt;300ms), high throughput, and enterprise reliability.</p></li><li><p>
Experience in conversational AI, speech systems, or real-time inference workloads.</p></li><li><p>
Deep knowledge of MLOps platforms (Kubeflow, MLflow, VertexAI, SageMaker).</p></li><li><p>
Familiarity with state-of-the-art inference optimization frameworks (e.g., Triton, Nvidia Riva, vLLM, SGLang).</p></li><li><p>
Open-source contributions or patents in distributed systems, infra, or ML tooling.</p></li></ul></div>

Principal Engineer - Nurix AI

Search 552+ Principal architect e2e wms jobs near you this September. New roles added regularly across leading industries. Apply today.