Technical Architect Salary India Jobs

MongoDB is seeking a Sr. Manager of Partner Solution Architects to lead a global team dedicated to building and strengthening relationships across HyperScalers. This role is focused on strategic partner management, ensuring MongoDB’s platform is aligned with our partners’ needs and driving mutual success. This position is ideal for a leader with strong strategic and business acumen, experience in partner ecosystems, and a passion for enabling collaboration and growth. This role can be based out of our Palo Alto office or remotely in the US region. Role Responsibilities: Leadership & Strategic Partnership Management Lead and mentor a team of Partner Solution Architects, cultivating strong relationships across the partner ecosystem. Develop and execute strategic initiatives to align partner success with MongoDB’s objectives. Collaborate with cross-functional teams (product, engineering, sales) to drive strategic business plans for partner engagement. Technical Enablement & Market Relevance Equip partners with knowledge and resources to ensure technical alignment and support go-to-market success. Help partners understand and position MongoDB solutions to meet evolving market needs. Serve as a trusted advisor, reinforcing MongoDB’s competitive advantage within the partner ecosystem. Business Development & Ecosystem Expansion Work closely with sales and marketing to identify ecosystem opportunities, driving joint business growth and expanding market reach. Oversee the creation of co-branded solutions and proposals, supporting revenue targets and mutual alignment. Address partner challenges by providing relevant business and technical solutions. Inclusive Leadership & Team Development Foster a high-performance, inclusive team culture focused on growth, mentorship, and diversity of thought. Champion best practices in partner engagement and strategic planning, ensuring a supportive environment for all team members. Build team agility to respond e

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role is based in Bangalore . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production deployment. Act as a technical d

Business Solutions Manager improves operational processes and supports critical business strategies by managing the development, implementation, and maintenance of application systems. Leads multiple projects and oversees developers to ensure specifications are met. Provides input to strategic decisions that affect functional areas of responsibility. May give input to developing the budget. Capable of resolving escalated issues arising from operations, which require coordination with other departments or regions. Key responsibilities: Establish and maintain a regional IT strategy supporting plans based on Global IT strategy and needs Identify and help solve problems affecting business solutions and work closely with Global/local IT peers and business stakeholders to analyze business systems and make recommendations for technical and process improvements Work on harmonization of local business processes, aligning with Global business processes Manage IT staff (onsite, remote, in-house, and third-party outsourced teams) and drive both project implementation and daily IT operational support management Collaborate and work closely with the business teams and extended IT teams both globally and regionally (systems analysts, solution architects, developers, security SMEs) to transform business requirements into scalable system solutions Respond quickly to shifting market dynamics and business demands, and when appropriate, work with key leadership to mitigate project or operational risks or to prioritize projects Act as the Japan IT Business Partner to serve as single point of escalation for strategic and critical tactical issues raised by the local and global stakeholders Liaise between Japan, the rest of Asia, and global headquarters to exchange best practices, learn about global trends, and propose new services or features to different functions that could help achieve Japan’s busi

Become a part of our caring community The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and performs work without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Collaborates with Business partners and Solution and Application architects in designing software solutions Use your skills to make an impact Required Qualifications Bachelor's Degree in Computer Science or related field 5 or more years of experience designing, developing, and testing of software applications and/or infrastructure Must be passionate about contributing to an organization focused on continuously improving consumer experiences 5+ years’ experience with Workday integration techniques including RaaS, API, Cloud Connector, and EIB 4+ years’ experience collaborating with HR, Talent, Payroll, Benefits, and Learning teams 3+ years’ experience with Workday architecture and data structures 3+ years’ experience working with protected information 2+ years’ experience implementing Workday security including SSO and MFA Preferred Qualifications Master's

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

About the Team: The IT Project Technology Lead is a strategic professional at the intersection of technology leadership and business impact — a recognized subject matter authority who brings both depth of expertise and the foresight to shape directional decisions that extend well beyond their immediate domain. This is not a role for those who simply manage tasks; it is a role for those who understand how technology, people, and process converge to drive transformation at scale. At Citi, where every system and solution ultimately serves hundreds of millions of customers across more than 160 countries, this individual operates at a level where their technical judgment carries real organizational weight. The successful candidate will work alongside senior project staff, technology architects, infrastructure teams, and client-facing leadership to ensure that complex, high-impact initiatives are delivered with precision, clarity, and strategic intent. They will influence functional decisions through trusted counsel, champion process improvements that raise the performance bar, and serve as a guide and mentor to the analysts and practitioners who look to them for direction. Their work does not stop at execution — it shapes how Citi's technology landscape evolves, how risk is managed with integrity, and how the organization positions itself to meet the demands of an ever-changing global financial environment. Responsibilities: Develops detailed IT work plans, schedules; project estimates, resource plans and status reports. Interfaces with senior project staff and client senior management teams regarding status of projects. Recommends and oversees process improvements. Has considerable business impact through in-depth evaluation of complex business processes, system processes and industry s

SCG sits at the crossroads of design, architecture, marketing, and productization—owning the journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded markets. As a System Verification CoDesign Engineer, you will work on system-level speed features, develop the verification collaterals and automation infrastructure to characterize and validate them, and lead debug of the complex silicon issues that stand between a program and on-time shipment. This is a hands-on role for an engineer who combines deep technical craft with the drive to compress cycle time using modern tooling—including AI—without losing rigor. What You’ll Be Doing: Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products. Understand system level behavior and speed reliability margins, bounding box constraints and identify solutions that optimize margins . Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows. Perform closed loop validation by correlat ing silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs. Define, prototype, and refine pre- and post-silicon bring-up flows to ensure

Job Details: Job Description: As a Senior Power and Performance (PnP) Engineer, you will be responsible for PnP product execution focused on measurements, analysis, and projections/estimates of Intel's unlaunched notebook and desktop products. Based on your technical knowledge of both Intel and the competition, you will help influence OEM customers, internal marketing teams, internal engineering teams, debug Intel silicon/platform on PnP issues, and be an integral part for Intel product launches. Core responsibilities to include following: Measure, analyze, and debug workloads to call out any power and/or performance gaps and close with internal engineering teams/architects Measure and analyze SoC/CPU and platform power on a rail by rail basis and debug any issues/gaps Align with other internal engineering teams and architects to ensure there is consensus on power and performance projections/estimates/measurements for both internal and external communication Guide, educate, and influence internal engineering teams, field account teams, and marketing teams on power and performance positioning of Intel products Create power and performance estimates on upcoming Intel products based on workloads to aid marketing decisions and help set internal KPI targets Own the publication of the Power Performance Guide (PPG) collateral to help guide OEM customers Bring up full test platform to enable both power and performance measurements including setup, calibration, and measurements. Qualifications: You mus

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models. Key Responsibilities Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges. Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . Build and optimize RAG systems , including hybrid search, multi-vector retrieval, and re-ranking pipelines. Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains. Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer. Design robust agent harnesses — governance, constraints, feedback loops, state/session management, and

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking an experienced Project Manager to lead our ERP implementation and drive delivery across technical and business teams. In this role, you will bridge Solution Architects with stakeholders across Sales, Supply Chain, Finance, Trade, Infosec, and Engineering to keep the program aligned, accountable, and moving forward. This role is hybrid, based out of Santa Clara, CA, or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced project manager who has led complex ERP implementations, such as NetSuite or SAP. Skilled in project management methodologies and tools, including Jira and Asana. A strong interpersonal communicator who can influence, align, and mediate across technical and business teams. Able to synthesize complex technical discussions into clear, actionable reporting for varied stakeholders. What We Need Define project scope, milestones, deliverables, and governance for the ERP implementation. Manage external consultants, monitor adherence to statements of work, and drive accountability for delivery. Coordinate Sales, Supply Chain, Finance, Trade, Infosec, Engineering, Solution Architecture, and o

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives, spanning AI research specialists, silicon designers, software engineers and systems architects. Job Summary We are looking for an experienced Principal Engineer to join our System Management team and help lead the development of critical interfaces used by internal and external customers to manage system state. You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. This is a hands-on engineering role for someone who can lead complex technical work, improve reliability and operational readiness, and collaborate effectively across multiple engineering disciplines. The Team The System Management team sits within the Software Platform group and helps build Graphcore products into large-scale AI solutions for our customers. The team is responsible for developing the interfaces between hardware, AI software and frameworks, as well as providing interfaces for public and private cloud environments. This includes system management capabilities that abstract complex hardware administration and enable reliable deployment and operation at scale. As one of the first teams to work with new hardware and software, we regularly solve complex system-level problems

About us Graphcore is one of the world’s leading innovators in artificial intelligence compute. We are developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and support the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world’s most transformative technologies. Together, we share a bold vision to enable advanced artificial intelligence and ensure its benefits are accessible to everyone. Graphcore brings together AI researchers, silicon designers, software engineers and systems architects to solve complex technical challenges and deliver innovative computing solutions. Job Summary The Principal Electrical Engineer will be a technical authority within Data Center Engineering, leading the architecture and delivery of safe, resilient and scalable electrical infrastructure for high-density AI computing environments. Working with internal teams, data center developers, utilities, consultants and equipment partners, this role will guide projects from early technical studies through design, construction, commissioning, operation and lifecycle improvement. The successful candidate must reside in, or be willing to relocate to, Austin, Texas. Approximately 10% travel may be required. The Team The Data Center Engineering team is responsible for defining and enabling the infrastructure needed to deploy and operate Graphcore’s computing systems at scale. The team works across electrical, mechanical, thermal, controls, systems and operational disciplines, collaborating with external engineering and construction partners to deliver reliable, efficient and maintainable data center environments. Responsibilities and Duties Act as the technical authority for electrical engineering across data center infrastructure projects, from the utility or on-site power source through to the IT rack. Lead electrical archit