data engineer

ai engineer

analytics engineer

platform engineer

data architect

cloud solution architect

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience in public cloud architecture, including compute, networking, IAM, and microservices.</li>
<li>Experience in pre-sales acceleration, managing technical proof of concepts (PoCs), and leading technical workshops.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience in enterprise technology, buying and evaluation processes paired with an understanding of large-scale computing solutions, and the business-to-technology translation skills needed to challenge partner delivery strategies.</li>
<li>Ability to deliver results and work cross-functionally alongside direct Google Cloud Platform Customer Engineers to position and orchestrate a solution consisting of multiple products.</li>
<li>Ability to drive and influence Partner Tech audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on Partner-led delivery agreements.</li>
<li>Deep domain specialization (AI, Data, or Infrastructure), expert-level depth in one or more domain.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Partner Solution Architect, you will serve as the pre-sales solution design authority for our priority Regional System Integrators and strategic partners across EMEA.<div>
As a part of this role, you will operate strictly ring-fenced from Global System Integrator engagements, you will be the ecosystem co-pilot to Google Cloud's Account Platform Customer Engineers, where the Account Platform CE owns the direct customer relationship and strategy, you will own your partner's technical capability to successfully deliver it. You will move from regional advisory to deep, domain-specific execution (AI, Data, or Infrastructure) to capture the pre-sales gap, deflecting post-sales delivery.</div><div></div><div> 
You will work in close collaboration with the Partner Development Managers responsible for the Regional Systems Integrators (RSIs) and Strategic Partners in your sub-region to create, drive and execute a joint business plan, focusing on most impactful engagements across your sub-region and contribute to Partner Community in your domain of expertise.</div>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li><div>Drive VIP, red-carpet bootcamps and hackathons for your partners to accelerate business cycles and to ensure high-quality on time delivery, driving a successful path to consumption.</div></li>
<li>Provide targeted pre-sales architectural support for RSIs and strategic partners in South, acting as a technical peer to Account CEs to unblock complex agreements or customize partner activation. 
</li>
<li><div>Be responsible for the tech review and validation of highest impact Statements of Work (SOWs) to ensure a strict path to production and secure Partner funding Return on Investment (ROI).</div></li>
<li>Serve as the regional pre-sales design authority by authoring baseline enterprise replicable assets (e.g., functional AI demos). Lead deep-dive technical sessions and hackathons for the regional Partner Tech Community to broadcast enablement 1-to-many.</li>
<li>Contribute to building, running and maintaining EMEA Partner Tech Community.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Solution Architect, Regional System Integrators and Strategic Partners

Blue Yonder

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

Principal Architect (E2E) - WMS

NewRocket

<div>Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.

We are #GoingBeyond. Come join our Crew!

What You Will Be Doing

AI/ML Architecture &amp; Solution Delivery
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
Generative AI, Anthropic &amp; LLM Engineering
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
Agentic AI &amp; Workflow Orchestration
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
Machine Learning, NLP &amp; Data Science
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
Cloud, Data Engineering &amp; Platform Integration
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
AI Quality, Governance &amp; Responsible AI
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
ServiceNow, Automation &amp; Enterprise Experience
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
Analytics &amp; Visualization
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
What You Bring Along
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
Preferred Qualifications

Anthropic &amp; Claude Experience
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
Agentic AI &amp; LLM Operations
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
Education
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul> 


We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</div>

Agentic AI Architect-Anthropic-UK

<div>About the role:
PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC&rsquo;s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK&rsquo;s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 
What your days will look like:
As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.<ul><li>Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC&rsquo;s &ldquo;Trust by Design&rdquo; architecture patterns to ensure systems are secure, governed, transparent and resilient.</li><li>Develop and mature PwC&rsquo;s &ldquo;Trust by Design&rdquo; reference architectures and patterns for GenAI and agentic AI, embedding:</li><li>safety and policy controls (guardrails, content safety, prompt-hardening),</li><li>transparency and auditability (logging, traceability, lineage),</li><li>privacy and security controls (data minimisation, encryption, key management),</li><li>and human-in-the-loop and escalation mechanisms.</li><li>Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across:</li><li>SDLC and secure-by-design practices,</li><li>data lifecycle and data governance,</li><li>model lifecycle (training, fine-tuning, evaluation, release, monitoring).</li><li>Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.</li><li>Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.</li><li>Oversee development of test plans and evaluation frameworks including:</li><li>functional performance testing (accuracy/task success),</li><li>safety testing (toxicity, bias, harmful capability),</li><li>robustness testing (adversarial prompts, jailbreak attempts),</li><li>privacy and leakage testing,</li><li>explainability and transparency checks,</li><li>and post-deployment monitoring (drift, incidents, regressions).</li><li>Shape approaches to model validation and independent assurance, including documentation, governance evidence packs, and audit-ready artefacts.</li><li>Act as technical delivery lead / solution architect on flagship engagements, owning architecture decisions, quality, and delivery outcomes.</li><li>Lead multidisciplinary teams across RAI, engineering, cyber, data governance and risk, bringing structure, pace and clarity to complex delivery.</li><li>Codify delivery experience into reusable assets (frameworks, playbooks, accelerators, reference architectures) to scale PwC&rsquo;s methodology and differentiation.</li><li>Contribute to the UK Responsible AI go-to-market strategy, shaping priority offerings, target sectors, alliance motions and client propositions.</li><li>Lead and contribute to technical thought leadership on GenAI, agentic systems, LLM assurance, AI security and governance, staying at the frontier of emerging techniques.</li><li>Mentor and upskill practitioners through internal capability building, training and coaching.</li><li>Build, lead and inspire diverse teams, fostering a culture of ethical innovation, engineering excellence and continuous learning.</li><li>Collaborate with global PwC teams to scale Responsible AI capabilities across the network and share repeatable assets.</li></ul>
This role is for you if you have:<div><ul><li> 
Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).</li><li>Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.</li><li>Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.</li><li>Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.</li><li>Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.</li><li>Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems.</li><li>Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.</li><li>Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.</li><li>Experience in consulting or industry, including leadership of complex AI/data/analytics/model risk initiatives.</li><li>Strong stakeholder influence: able to advise executives and risk leaders and translate complex technical issues into business and regulatory implications.</li><li>Commercial acumen: experience shaping proposals, leading workstreams, and supporting large engagements alongside Partners.</li></ul></div>
Desirable to have:<div><ul><li> 
Experience with model governance / MRM platforms, GenAI guardrail tools, and LLMOps / observability tooling (prompt/trace evaluation, scoring, monitoring).</li><li>Experience leading or contributing to AI security programmes (threat modelling, prompt injection mitigation, data leakage prevention, secure deployment).</li><li>External thought leadership (publications, speaking, panels) on Responsible/Trustworthy AI.</li><li>Relevant certifications (e.g., ISO lead implementer/auditor) and/or contributions to standards bodies or industry forums.</li></ul></div>
What success looks like in this role:<div><ul><li> 
You can architect a GenAI/agentic solution end-to-end, explain the trade-offs, and embed Trust by Design controls without slowing delivery to a crawl.</li><li>You&rsquo;re comfortable with both platform realities (Azure/AWS services, identity, security, integration, monitoring) and RAI assurance (evidence, testing, validation, governance).</li><li>You can turn lessons learned into repeatable patterns that scale across PwC and across clients.</li></ul></div> 
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Applications close on the 5 of June 2026</div>

Senior Manager, Responsible AI Solution Architect

Simple Machines

<div>Solutions Architect
London, England, United Kingdom &middot; Hybrid &middot; Full-time
About Simple Machines
Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We are a team of creative engineers and expert technologists working at the intersection of data, AI, data engineering and software engineering. We partner with enterprises, technology companies and governments to design and build bespoke data platforms, intelligent systems and high-impact software products that bring data to life.
We engineer data to life&trade;.
The Role
We&rsquo;re looking for an experienced Solutions Architect to join our London team. You&rsquo;ll design large-scale, data-intensive platforms and intelligent systems for ambitious enterprise clients, working on hard problems: real-time systems operating at significant scale, complex integration landscapes, and platforms where data and machine learning drive customer-facing outcomes.
This is a hands-on architecture role embedded in an established delivery team. You&rsquo;ll own solution designs end-to-end: shaping how new capabilities are architected, producing clear design documentation, and working with engineers, product managers, and client stakeholders to carry those designs through to production.
This is a client-facing role. You&rsquo;ll spend much of your time working inside the client&rsquo;s organisation, alongside their architects, governance functions, business owners, and third-party vendors as well as our own delivery team. That takes someone who can win trust quickly, build consensus across groups with competing priorities, and push back when it matters.
What You&rsquo;ll Be Doing<ul><li>
Design solutions across large-scale enterprise platforms: APIs, integrations, data flows, and the supporting cloud infrastructure</li><li>
Translate ambiguous business requirements into well-documented architectures that engineering teams can build from</li><li>
Present and defend designs with senior client stakeholders, including enterprise architects, programme leadership, and business owners</li><li>
Work within client governance processes such as architecture review boards, security reviews, and integration standards</li><li>
Collaborate day to day with engineers, data scientists, and product managers in an Agile delivery model</li><li>
Balance strategic direction with pragmatic delivery, judging when to invest in long-term design and when to ship</li><li>
Contribute to the wider architecture practice at Simple Machines through standards, reusable patterns, and ways of working
</li></ul>The Team
You&rsquo;ll join a high-performing, multi-disciplinary team delivering a large-scale machine learning platform for a global telecommunications client. The team operates with high autonomy and shared ownership, and works in a hybrid setup with both remote and in-person collaboration with client stakeholders. 
Requirements 
 
What We&rsquo;re Looking For
Core Experience<ul><li>
Significant experience as a Solutions Architect on large-scale enterprise platforms, with designs you have taken from concept through to production</li><li>
A consultancy background, or experience that closely resembles one: client-facing delivery, multiple engagements or programmes, and comfort operating inside someone else&rsquo;s organisation</li><li>
A proven track record of managing complex stakeholder landscapes, aligning technical and business audiences with competing priorities</li><li>
Strong grounding in distributed systems, API design, and integration architecture</li><li>
Strong grounding in data processing, data warehousing, sql, no sql, data pipelines</li><li>
Excellent written and verbal communication, including clear and well-structured design documentation</li><li>
Sound judgement on trade-offs across cost, risk, delivery speed, and long-term maintainability</li><li>
A software engineering background, able to discuss details and technicalities with the engineering team to bring solutions to life grounded in the capabilities and constraints of the projects.
</li></ul>Cloud &amp; Infrastructure<ul><li>
Experience architecting cloud-native platforms on a major public cloud</li><li>
Understanding of containerised and orchestrated deployments (Docker, Kubernetes, or equivalent) at an architectural level</li></ul>
Nice to Have<ul><li>
Experience with decisioning, next-best-action, or personalisation platforms, or the broader martech and commercial platform space</li><li>
Telecommunications experience, or experience in similarly large, regulated enterprise environments</li><li>
Familiarity with the JVM ecosystem and event-driven architectures</li><li>
Exposure to pricing, product catalogue, or commercial configuration systems</li><li>
Experience applying machine learning outputs within real-time customer-facing systems</li><li>
Experience with agentic solutions</li></ul></div>

Solutions Architect

Atos

<div>Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. 


With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand. 
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. 


About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. &euro;7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
We are looking for an experienced Digital Applications Presales Solution Architect to join our UK Technology Solutions team. In this customer-facing role, you will lead the design of innovative, end-to-end application solutions that help organisations accelerate their digital transformation journeys. Working closely with customers, sales teams, and technical specialists, you will shape winning propositions across AI-Augmented Application Development, Digital Application Management, and AIOps services.

As a trusted advisor, you will combine technical expertise, commercial awareness, and strong stakeholder engagement skills to understand client challenges, architect compelling solutions, and develop high-quality proposals that deliver measurable business value. This is an opportunity to play a key role in strategic pursuits, influence customer outcomes, and help drive the growth of Atos' Digital Applications business. 


Where purpose meets career:
<ul>
<li>Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts. This variety ensures continuous learning and exposure to innovative solutions.</li>
<li>High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation.</li>
<li>Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment.</li></ul> 


Skills We Can't Do Without
<ul>
<li>Proven Presales Solution Architecture Experience 
Demonstrated success designing and leading end-to-end solutions for complex customer opportunities, including solution design, cost modelling, governance, and technical sales engagements.</li>
<li>Digital Applications Expertise 
Strong knowledge of AI-Augmented Application Development, Application Modernisation, Digital Application Management, AIOps, and software delivery methodologies such as Agile, DevOps, and DevSecOps.</li>
<li>Proposal &amp; RFP/ITT Authoring 
Proven experience owning and authoring high-quality technical proposal responses (RFPs/ITTs), developing compelling solution narratives, and presenting value-driven solutions to customer stakeholders.</li>
<li>Stakeholder Engagement &amp; Consulting Skills 
Exceptional communication, presentation, and influencing skills, with the ability to engage senior customer stakeholders, shape requirements, and translate business challenges into effective technology solutions.</li>
<li>Commercial &amp; Solution Design Acumen 
Ability to develop outcome-based service propositions, create accurate estimations and resource plans, identify risks, and align solutions with measurable business value and customer objectives.</li></ul> 


Educational Background and Qualifications:
<ul>
<li>Educational Qualifications: Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline.</li>
<li>Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable.</li></ul> 


Benefits:
<ul>
<li>Pension Scheme - contributions matched up to 10%</li>
<li>Private medical cover</li>
<li>Income Protection</li>
<li>Life Assurance</li>
<li>25 days paid leave + National Holidays</li>
<li>Flex benefits program</li></ul> 


Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations. 


Recruiter Contact:

Please write directly to Ofelia Georgieva on Ofelia Georgieva | LinkedIn |ofelia.georgieva@atos.net

As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs.

We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox - UK-Recruitment-Support@atos.net 


Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.</div>

Digital Applications Presales Solution Architect

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Manchester, UK.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders.</li>
<li>Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.</li>
<li>Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).</li>
<li>Experience building long-term technical strategies to uncover new workloads with customers.</li>
<li>Experience migrating applications and services to cloud platforms.</li>
<li>Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer (CE), you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer&rsquo;s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. 
 
You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and own the technical account plan and strategy, participating in planning and supporting goal sales motions.</li>
<li>Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.</li>
<li>Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Continue to lead the technical engagement in the solution phase.</li>
<li>Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.</li>
<li>Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Customer Engineer, Platform, FSI, Google Cloud

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