Solution Architect for distributed AI Systems Job at Robert Bosch Sp. z o.o. (Warszawa)

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Ai Solution Architect, Specialist Sa

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seekin...

Location

Canada , Toronto

Salary:

146000.00 - 211600.00 CAD / Year

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

7+ years of in design/implementation/operations/consulting with distributed applications experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
5+ years of working with or evaluating AI systems experience
Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization

Job Responsibility

Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation
Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects
Be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features
Link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)
Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization

What we offer

health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
Registered Retirement Savings Plan (RRSP)
Deferred Profit Sharing Plan (DPSP)
paid time off
other resources to improve health and well-being

Fulltime

AI Solution Architect

This role is part of Sigma Software’s Center of Excellence, a strategic division...

Location

Ukraine

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Python / strong
AI/ML Solutions / strong
Cloud Platforms (AWS/GCP/Azure) / strong
Distributed Systems Design / strong

Job Responsibility

Translating business requirements into scalable, robust, and efficient technical solutions

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

AI Solution Architect

Velvetech is expanding its AI capabilities and looking for an AI Solution Archit...

Location

United States

Salary:

Not provided

Velvetech

Expiration Date

Until further notice

Requirements

4+ years of experience in software engineering or system architecture
Proven experience designing production systems using cloud platforms (AWS, Azure, or GCP)
Practical experience with AI/ML or Generative AI implementations
Strong understanding of APIs, distributed systems, microservices, and data pipelines
Experience with RAG patterns, vector databases, or AI orchestration frameworks is a plus
Knowledge of DevOps, CI/CD, and observability practices
Strong communication skills and ability to work directly with client stakeholders
English proficiency sufficient for direct client communication

Job Responsibility

Design end-to-end AI architectures (GenAI, ML, RAG-based systems, automation workflows)
Define integration approaches with client systems (APIs, microservices, data platforms)
Establish best practices for AI solution design, security, reliability, and scalability
Lead technical discovery and feasibility assessments
Guide engineering teams during implementation
Select appropriate AI/ML models and infrastructure based on business needs and cost efficiency
Define MLOps and monitoring strategies
Collaborate with stakeholders to translate business problems into technical solutions
Support pre-sales activities with technical input and solution design when needed

What we offer

Groundbreaking AI project work
Competitive salary
Career growth opportunities in a fast-paced tech-driven company
Result oriented culture, collaborative and highly innovative work environment

Fulltime

Sr. Systems Architect, Physical AI

This role designs and builds the platform architecture for T-Mobile's Physical &...

Location

United States , Bellevue

Salary:

102000.00 - 184000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Technology or related technical field
4-7 years experience architecting enterprise-scale systems and platforms (e.g., distributed computing, data platforms, or multi-tenant services)
Business Architecture
Data Modeling
Prototyping
Solution Architecture
Stakeholder Management
Strategic Planning
Systems Architecture

Job Responsibility

Own and develop the platform architecture for Physical & Edge AI (developer onboarding/SDKs, app marketplace, workflow orchestration, and billing/metering) as a coherent, productized developer surface
Define and enforce architectural guardrails and standards for API design, identity/auth, multi-tenant isolation, observability, and extensibility to ensure compliance and reliable delivery
Create and present high-level solution designs and technical documentation (RFCs, design docs, decision records) to guide development and leadership decisions
Collaborate with business and technical teams to translate requirements into optimized technology solutions
partner with Product on the platform roadmap
Lead deep technical reviews of platform features and partner integrations
act as a senior architectural authority for platform-tier decisions
Mentor and coach architects and senior engineers and influence the broader architecture community on Edge AI platform patterns
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off

Fulltime

Cloud Solution Architect - Cloud & AI Platforms

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

Malaysia , Kuala Lumpur, Bukit Jalil

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field
4+ years experience in technical projects and specifically 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
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Proven experience in Cloud Solutions Architecture or Mission Critical Support for enterprise customers
Deep knowledge of Azure infrastructure services (Compute, Storage, Networking), Container services (such as Azure Kubernetes Service) and Platform-as-a-Service (PaaS) offerings
Strong troubleshooting skills across distributed systems and mission-critical workloads
Familiarity with performance optimization, high availability, and disaster recovery strategies
Demonstrated ability to manage high-severity incidents and provide rapid mitigation strategies
Experience working with financial services customers or other highly regulated industries
Excellent verbal and written communication skills for executive-level updates and technical deep dives

Job Responsibility

Responsible for delivering Support Mission Critical Service offerings, collaborating with CSU (including CSAs, CSAMs), CSS, Engineering, and other teams as needed
Direct accountability to lead the Proactive Resiliency Efforts, coordinate with other teams on the Accelerated Incident Resolution, and Monitoring & Observability features of an offering
Proactive Resiliency: Lead technical engagement with specific workloads that prioritizes Reliability, Security, Supportability, Manageability, and Monitoring and Observability
Coordinating the onboarding phase which includes the Consolidated Assessment Week Delivery
Remediate proactive recommendations for the specified workloads identified
Plan and implement both a Workload-Specific Service Improvement Plan and a Customer Success Plan
Accelerated Incident Resolution: Awareness and visibility into critical incidents to ensure RCAs and recommendations are captured and linked to Proactive Resiliency efforts
Monitoring & Observability: Collaborate with relevant resources when engaged to help onboard the customer efficiently and effectively, prioritizing customer experience and effort, as well as drive customer-owned monitoring to enable and improve customer’s observability capabilities
Cross-Team Leadership: Build partnership with CSAM to ensure roles are clearly understood and responsibilities are established, maintaining partnership throughout contract and relying on CSAM for account escalation
Coordinate with the leads of the Accelerated Incident Resolution work stream and, when required, the Proactive Monitoring work stream with our internal partners

Fulltime

Cloud Solution Architect - Cloud & AI Platforms

Support for Mission Critical is a team within Microsoft that provides solution-s...

Location

Malaysia , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field
4+ years experience in technical projects and specifically 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
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Proven experience in Cloud Solutions Architecture or Mission Critical Support for enterprise customers
Deep knowledge of Azure infrastructure services (Compute, Storage, Networking), Container services (such as Azure Kubernetes Service) and Platform-as-a-Service (PaaS) offerings
Strong troubleshooting skills across distributed systems and mission-critical workloads
Familiarity with performance optimization, high availability, and disaster recovery strategies
Demonstrated ability to manage high-severity incidents and provide rapid mitigation strategies
Experience working with financial services customers or other highly regulated industries
Excellent verbal and written communication skills for executive-level updates and technical deep dives

Job Responsibility

Responsible for delivering Support Mission Critical Service offerings, collaborating with CSU (including CSAs, CSAMs), CSS, Engineering, and other teams as needed
Direct accountability to lead the Proactive Resiliency Efforts, coordinate with other teams on the Accelerated Incident Resolution, and Monitoring & Observability features of an offering
Proactive Resiliency: Lead technical engagement with specific workloads that prioritizes Reliability, Security, Supportability, Manageability, and Monitoring and Observability
Coordinating the onboarding phase which includes the Consolidated Assessment Week Delivery
Remediate proactive recommendations for the specified workloads identified
Plan and implement both a Workload-Specific Service Improvement Plan and a Customer Success Plan
Accelerated Incident Resolution: Awareness and visibility into critical incidents to ensure RCAs and recommendations are captured and linked to Proactive Resiliency efforts
Monitoring & Observability: Collaborate with relevant resources when engaged to help onboard the customer efficiently and effectively, prioritizing customer experience and effort, as well as drive customer-owned monitoring to enable and improve customer’s observability capabilities
Cross-Team Leadership: Build partnership with CSAM to ensure roles are clearly understood and responsibilities are established, maintaining partnership throughout contract and relying on CSAM for account escalation
Coordinate with the leads of the Accelerated Incident Resolution work stream and, when required, the Proactive Monitoring work stream with our internal partners

Fulltime

Cloud Solution Architect (Azure, Security and AI)

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

Germany , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Proven experience in IT consulting, cloud architecture, or technical delivery leadership
Proven technical expertise across Microsoft Cloud services (Azure, M365, or Security solutions)
Ability to understand and apply AI concepts within customer and operational contexts
Strong project management background, including governance, reporting, and delivery lifecycle management
Demonstrated experience in leading distributed teams and coordinating cross-functional delivery with partners and vendors
Solid understanding of ITIL, DevOps, and operational frameworks (change management, incident response, SLAs, KPIs)
Ability to communicate effectively with executive, technical, and operational stakeholders
Excellent written communication and documentation skills
able to produce high-quality customer deliverables
Experience leading or managing large-scale delivery teams under managed services or customer success models

Job Responsibility

Partner with Secured CSU leaders, delivery partners, and global/national CSA teams enabling Success Program Deliveries across our Secured customer base in your assigned markets
Serve as a technical authority within the POD, providing architectural guidance, best practice validation, and delivery assurance across multiple Microsoft solution areas (Azure, Security, AI, or Modern Work)
Conduct random delivery audits, reviewing customer deliverables for accuracy, alignment to frameworks, and technical depth
Lead key customer engagements to set delivery standards, ensuring technical excellence and knowledge transfer
Partner with SMEs and IP Leads to pilot new content and improve delivery methodologies based on field insights
Maintain the Rhythm of Business (ROB) cadence by facilitating bi-weekly POD syncs, monthly dashboards, and quarterly business reviews to ensure visibility, accountability, and performance tracking
Monitor vendor CSA utilization, engagement compliance, and CSAT performance, applying short-term corrective actions and operational optimizations based on data insights
Drive delivery lifecycle governance, ensuring timely kickoffs, milestone tracking, deliverables submission, and closeouts fully aligned with Success Program SLAs and documentation standards
Oversee workload planning and capacity management in collaboration with Resource Coordinators (RCs) and Service Delivery Managers (SDMs) to balance priorities and ensure effective allocation
Track and report key performance indicators (KPIs)—including utilization, CSAT, audit coverage, compliance, and billable contribution—to assess delivery health and inform decision-making

Fulltime

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Solution Architect for distributed AI Systems

Job Description

Job Responsibility

Requirements

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