Sr. Solution Engineer - Cloud & AI Infrastructure Job at Microsoft Corporation (Jakarta)

Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will b...

Location

United States

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field
10+ years in software engineering, data engineering, or AI/ML delivery
at least 4+ years in customer-facing or field roles
Proven track record in building and deploying AI/ML applications in production at enterprise scale
Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases
Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks
Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns
Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures
Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines
Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration

Job Responsibility

Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site
Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications
Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks
Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization
Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes)
Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks
Develop and fine-tune LLM/SLM solutions
implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI)
Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management
Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production

Fulltime

Sr Principal Presales, Systems Engineer - Cloud & AI Networking

Sr Principal Presales, Systems Engineer - Cloud & AI Networking. This role has b...

Location

United States

Salary:

194500.00 - 456500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in engineering or related field required, advanced degree preferred
15+ years of technical experience in network infrastructure Architecture, design and solutions consulting, designing large-scale AI, Cloud Data Center in Hyperscale networking environments
15+ years of industry experience applying technical expertise with JunOS, EOS, IOS and hyperscale network architecture frameworks
JNCIE or equivalent certification
Deep hands-on expertise with hyperscale routing, MPLS traffic engineering, switching, SDN overlays (EVPN/VXLAN, MP-BGP), Network Fabrics and DCI solutions, network provisioning, automation and monitoring (Apstra, Paragon, NETCONF/REST APIs, YANG)
Familiarity with major networking silicon, hardware platforms and related software (e.g., Juniper, Arista, Cisco, SONiC, Cumulus etc.)
SME in Virtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV, SmartNICs etc.
Proven success in complex pre-sales roles, with a strong ability to build relationships with senior technical and C-Level stakeholders
Experience with programming/scripting (Python, APIs, JSON etc.) to enable solution integration and automation
Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences

Job Responsibility

Act as a primary technical architect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions
Architect end-to-end networking infrastructure solutions with strong expertise in data center, AI networking, hyperscale environments, and WAN technologies
Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements
Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulate HPE Networking’s value in customer use cases
Engage with hyperscalers, large enterprises, service providers and technology partners to co-design solutions addressing emerging challenges across industries and workloads
Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams
Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners
Mentor and provide technical leadership to junior technologists and sales engineering teams
Navigate and adapt through complex technology transitions, maintaining thought leadership in networking innovations and industry trends

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Sr. Cloud Solution Architect - Cloud & AI Infrastructure

Proactively acts as the voice of the customer/partner and internal communities l...

Location

United States , San Diego

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Active U.S. Government Top Secret Security Clearance
U.S. citizenship
Ability to pass Microsoft Cloud background check

Job Responsibility

Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer
Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF
Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM
Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, SAP, and AI workloads
Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases
Deliver repeatable IP and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes
Identify and resolve technical blockers to accelerate go-live and ensure delivery excellence across key Factory engagements
Generate incremental pipeline from each engagement by driving next best actions and aligning with Unified Enterprise Support (ES) priorities
Maintain technical intensity through continuous skilling and certifications in priority workloads such as Azure SQL, PostgreSQL, AKS, App Service, AVS, SAP (Native + RISE), Windows, Linux and Defender for Cloud
Engage in technical communities, share best practices, and contribute to knowledge reuse to accelerate customer transformation and success

Fulltime

Distinguished Technologist, Presales Engineering

Distinguished Technologist, Presales Engineering. This role has been designated ...

Location

United States , All, New Jersey

Salary:

203500.00 - 492500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

AI/ML Networking Expertise: Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns
Edge & Distributed Compute Knowledge: Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport
Advanced Network Design: 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures
Modern Protocol Fluency: Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation
Systems Thinking: Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic "AI Fabric" vision
Thought Leadership: Significant experience providing both solution and commercial leadership, specifically in translating the "Cost of AI" into a value-based networking ROI for C-level stakeholders
Executive Presence: Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations
Sales Mastery: Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response
Resource Management: Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources
Minimum Qualifications: 15+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains

Job Responsibility

Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads
Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput
Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter
End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters
Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met
Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments
Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers
Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management
Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases
Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team

What we offer

Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing
Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good

Fulltime

Sr. Cloud Solution Architect - Cloud & AI Infra

We’re looking for a Cloud Solution Architect (CSA) to help customers migrate, mo...

Location

United States , Washington D.C.

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience
4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
Active U.S. Government TOP SECRET Security Clearance
U.S. citizenship
Ability to pass Microsoft Cloud background check

Job Responsibility

Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer
Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF
Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM
Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, SAP, and AI workloads
Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases
Deliver repeatable IP and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes
Identify and resolve technical blockers to accelerate go-live and ensure delivery excellence across key Factory engagements
Generate incremental pipeline from each engagement by driving next best actions and aligning with Unified Enterprise Support (ES) priorities
Maintain technical intensity through continuous skilling and certifications in priority workloads such as Azure SQL, PostgreSQL, AKS, App Service, AVS, SAP (Native + RISE), Windows, Linux and Defender for Cloud
Engage in technical communities, share best practices, and contribute to knowledge reuse to accelerate customer transformation and success

Fulltime

Ai Developer Sr

Location

Mexico , Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience
Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering
Proficiency in programming languages such as Python, Java, Javascript, or C++
Demonstrated ability to lead and mentor technical teams, fostering a collaborative and innovative work environment
Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experiencing building infrastructure and tooling for cloud-based software
Experience in Agile methodologies and project management tools (e.g., Jira, Trello) to effectively manage project timelines and deliverables
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders
Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems
Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems
Experience translating AI-related research into products through software engineering

Job Responsibility

Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units
Lead and inspire cross-functional teams in the design, development, and deployment of cutting-edge AI solutions, guaranteeing that projects are delivered on time, within scope, and aligned with overarching business goals
Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation
Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes
Mentor and cultivate a high-performing team of AI engineers, promoting professional development and career growth through targeted training, performance feedback, and leadership opportunities
Stay at the forefront of industry trends and emerging technologies in AI, driving research initiatives that position Toyota as a leader in AI applications and solutions
Identify and assess potential risks associated with AI projects, implementing robust mitigation strategies to ensure compliance with regulatory standards and ethical considerations
Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems
Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise
Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services

Fulltime

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

Sr. Partner Solution Architect - Digital & App Innovation

The Partner Solution Architect (PSA) – Digital Apps & Innovation is a senior, pa...

Location

South Africa , Johannesburg

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, or a related field AND proven experience in application development, solution architecture, cloud consulting, or technical consulting
OR Master’s Degree in a related field AND demonstrated experience in technical consulting, solution design, or technical pre‑sales
OR Equivalent industry experience
Strong experience designing or architecting modern application solutions on cloud platforms
Hands‑on or architectural knowledge of: Cloud‑native application platforms (App Service, AKS, containers, serverless)
Application integration and APIs
DevOps, CI/CD, and developer productivity tooling (GitHub)
Application security, resiliency, observability, and governance
Solid understanding of cloud‑native design patterns, microservices, and platform engineering concepts
Experience working with technology partners, system integrators, ISVs, or consulting organizations

Job Responsibility

Serve as a trusted technical advisor to strategic and high‑growth partners across CEMA, spanning mature, emerging, and developing cloud markets, delivering modern application solutions on Azure
Adapt architectural guidance to regional customer needs, regulatory considerations, and varying levels of cloud and application maturity
Guide end‑to‑end application architecture across web, mobile, and backend services, including cloud‑native, microservices, and event‑driven patterns
Support partners in aligning their application roadmaps with Microsoft Digital Apps & Innovation priorities, including application modernization, developer productivity, platform engineering, and AI‑enabled apps
Support the design and validation of partner solutions using: Azure App Service, Azure Kubernetes Service (AKS), containers, and serverless technologies
Application integration with API Management, messaging, and event‑driven architectures
DevOps and platform engineering practices leveraging GitHub, CI/CD pipelines, and Infrastructure as Code
AI‑enabled application scenarios using Azure AI Services and Azure OpenAI
Lead architecture reviews, technical deep dives, whiteboarding sessions, and proof‑of‑concept or MVP engagements
Ensure partner solutions follow Microsoft best practices for performance, scalability, security, reliability, and cost optimization using the Well‑Architected Framework

Fulltime

Sr. Solution Engineer - Cloud & AI Infrastructure

Microsoft Corporation

Location:
Indonesia , Jakarta

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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