Adani Airport City is developing Mixed Use Real Estate Airport Cities including Retail, Office, Hotels, Convention Centre and Arena across various cities – Mumbai, Navi Mumbai, Ahmedabad, Jaipur, Lucknow, Guwahati spanning over 22 Mn. Sft in the initial Phases. The Lead Design Architect will play a pivotal role in leading architectural design, design management for Mega real estate and hospitality projects. The position requires a Bachelor of Architecture from a reputed institute and a proven track record of working with a multidisciplinary team of top international and Indian Architects, and consultants. This position will report to Head Design Source: Adani Group | Job ID: 54118
Jobiba hiring network
Lead Architectural Design And Approvals Nmial Jobs
6,753 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current lead architectural design and approvals nmial jobs. Use filters to narrow by work mode, employment type, experience and date posted.
The Design Management & Approvals Architect will play a pivotal role in leading architectural design initiatives for real estate and hospitality projects. The candidate must have government liaison and approvals experience. The position requires a Bachelor of Architecture and preferably a Master of Architecture from a reputed institute and a proven track record in conceptualizing and overseeing mixed-use developments, business parks, and retail spaces. The ideal candidate will have 15-18 years of experience and possess exceptional skills in architectural design for hospitality-led projects. This position will report to Head – Design Functionally and Project Development Head Administratively. Source: Adani Group | Job ID: 54114
About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe
• coordinating integrated design planning across master plan, architecture, structural, MEP and allied streams to meet the project schedule;. • aligning COEs, consultants, PMC and GC for timely issuance of IFC/GFC drawings and design deliverables;. • driving digital drawing coordination, version control, exception reporting and escalation management;. • protecting product brief, approvals readiness and execution continuity through disciplined design governance. Source: Adani Group | Job ID: 54485
Principal Electro-Optical Infrared Design, Assembly, Integration, and Test Engineer Company: The Boeing Company Boeing Defense, Space and Security (BDS) is seeking a Principal Electro-Optical Infrared Design, Assembly, Integration, and Test Engineer (Level 6) for a satellite development program in Huntington Beach or El Segundo, California. This position will lead a team of engineers, analysts and staff within the Space and Missile Systems (SMS) and Boeing Technology and Innovation (BTI) Mission Systems organizations in the development, assembly, integration, and test of a constellation of satellites. The SMS and BTI organizations develop and capture technology for designing disruptive Mission Systems solutions. Focused on visible and infrared spectrum Electro-Optics Infrared (EO/IR) sensors operating in Space and Air domains, our growing team is leaping ahead of our competition with an exceptional mix of mission architectures, sensor designs, and algorithms for advanced image and data processing. Position Responsibilities: Drives technical excellence throughout all Optical Sensor development activities Troubleshoots sensor design and integration issues with the telescope and sensor focal plane Provides technical leadership to SMS and BTI sensor teams Serves as the primary technical interface with the EO/IR suppliers Provides oversight and approval of technical approaches, products and processes. Works closely with program manager, program chief engineer, and other Boeing teams Ensure mission success and prompt resolution of anomalies Provides mentoring and coaching to Optical Sensor Engineers and Technicians Performs Technical Lead Engi
About the Team The Finance Platform & Technology team builds and scales the systems and data architecture that power OpenAI’s core financial operations. We enable business agility, compliance, and operational excellence across procure-to-pay, quote-to-cash, supply chain, financial planning, and asset management. We partner with Procurement, Accounting, Tax, Legal, Security, Data, and Engineering to modernize workflows through thoughtful platform design, reliable integrations, scalable automation, and trusted data. About the Role As a Business Systems Lead for Procure-to-Pay, you will be a hands-on engineer who designs, builds, and operates the integrations and first-party applications that power OpenAI’s procurement workflows. You will translate business needs into secure, scalable software, APIs, data flows, and automation across Oracle Fusion, Zip, and connected platforms. You will build the future of buying at OpenAI using OpenAI’s own technology, from guided intake and approval experiences to supplier onboarding, purchasing, receiving, invoicing, and downstream financial data flows. You will own the technical roadmap and support model for these capabilities, improving today’s platforms while deciding where to integrate, configure, or build as OpenAI scales. Your core strength will be software and integration engineering. You will personally write code, troubleshoot cross-system failures, and take solutions through testing, deployment, and production support. You will also make targeted functional configurations in procurement platforms and partner with functional specialists on deeper process and module design. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate integrations across Oracle Fusion, Zip, and connected systems using APIs, events, messaging, and batch interfaces where appropriate. Build first-party
We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics & AI teams can confidently build on. This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution. You will also partner closely with AI Context & Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system. WHAT YOU’LL DO: Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces, including query execution across schemas and models, federated data access between the data warehouse and external source systems, and multi-step agent workflows for cross-functional business processes. Develop clear technical recommendations for platform and orchestration architecture evolution, align those recommendations with Senior Manager and Director-level direction, and guide the team through disciplined execution within the approved architecture. Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure. Guide the team to build and operate these systems to prod
About the Team OpenAI's Compensation team plays a crucial role in rewarding and retaining world-class talent who will ensure that artificial general intelligence benefits all of humanity. By crafting and implementing innovative compensation strategies, we ensure our compensation offerings are competitive, equitable, and aligned with OpenAI's mission to scale intelligently and ethically. About the Role We are expanding our Compensation team and seeking a Compensation Business Partner to help build the compensation pillar for our go-to-market organization. This is a hands-on individual-contributor role for someone who brings deep GTM compensation expertise and enjoys turning evolving business needs into practical, scalable programs. As a member of the total rewards team, you will partner closely with GTM leaders, HR Business Partners, Recruiting, Finance, and other cross-functional teams. You will spearhead compensation work across benchmarking, offer review, program design, and job architecture, with particular focus on the needs of a rapidly growing commercial organization. The shape of the work will evolve as the business grows. At times, you may independently lead key initiatives from strategy through execution. At other times, you will work alongside additional compensation partners and cross-functional resources. Success in this role requires comfort operating with ambiguity, strong judgment, and a willingness to stay close to the details while building for scale. This is an individual contributor role, designed for a subject-matter expert and hands-on builder. In this role, you will: Build and evolve compensation programs that support OpenAI’s growing GTM organization. Serve as a trusted compensation advisor to GTM leaders, HR Business Partners, Recruiting, and Finance. Lead compensation analysis and approval for offers, balancing market context, internal consistency, and OpenAI’s compensation philosophy. Own benchmarking and market analysis for GTM roles, tran
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role As an Enterprise/Strategic Field Engineer (L5) , you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention). You'll own the end-to-end technical relationship—from pre-sales architecture discussions through multi-year expansion—ensuring our enterprise customers don't just use Replit, but become Replit-powered companies. You'll partner with Account Executives and Account Managers in a high-accountability Pod structure . This is not a reactive support role—this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue. In this role you will: Pre-Sales Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy. Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders. Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development. Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ens
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role As an Enterprise/Strategic Field Engineer (L5) , you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention). You'll own the end-to-end technical relationship—from pre-sales architecture discussions through multi-year expansion—ensuring our enterprise customers don't just use Replit, but become Replit-powered companies. You'll partner with Account Executives and Account Managers in a high-accountability Pod structure . This is not a reactive support role—this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue. In this role you will: Pre-Sales Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy. Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders. Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development. Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ens
About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d
Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab
Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut
The Architect is responsible for the architectural design and coordination across multiple projects within the cluster. The role ensures that design, construction, and marketing objectives are met through effective communication, design reviews, and coordination with various teams, including MEP, sales, and external consultants. This position plays a crucial role in the day-to-day management of architectural activities, contributing to project execution, quality assurance, and alignment with business goals. Source: Adani Group | Job ID: 54488
Get new lead architectural design and approvals nmial jobs by email
Daily job updates · Unsubscribe anytime