senior software engineer

ai engineer

software engineer

lead software engineer

platform engineer

ai native sw engineering specialist

Accenture

<div><h2 class="jobSectionHeader">Description</h2>
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.
As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.
This sits at the heart of the AI engineering talent market, demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability</li><li>
Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets</li><li>
Integrate and abstract across multiple LLM providers &mdash; OpenAI, Anthropic, Vertex AI, and open-source models &mdash; with fallback routing, token, cost, and latency management</li><li>
Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring</li><li>
Embed directly with client engineering teams to design, prototype, and deploy agentic solutions &mdash; workshops, proofs of concept, code-with sessions, and architecture walkthroughs</li><li>
Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster</li><li>
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms</li></ul></div>
 
<div><h2 class="jobSectionHeader">Basic Qualifications</h2><ul><li>
5+ years of software engineering experience in production environments</li><li>
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment &mdash; non-negotiable</li><li>
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent &mdash; at production depth, not tutorial level</li><li>
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs</li><li>
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering</li><li>
LLMOps fundamentals: eval harness design, prompt versioning, and production observability</li><li>
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)</li><li>
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience</li><li>
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure</li></ul></div>

AI Native SW Engineering Specialist

in-tech group Ltd

About the JobAt in-tech, we are working to make mobility more sustainable and more intelligent.As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.Key Responsibilities<ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul>Required Skills &amp; Qualifications<ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul>Apply with usIf you have the experience, team spirit and are looking for a great place to work, then start your job with us.As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.Application question(s):<ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul>Work Location: Hybrid remote in London

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

Forward Role Secure

<div>
 
 
 
 Data Engineer (National Security)
 
 
 
 
 
 
 
 
 
 
 
 Location
 
 : Opportunities across South West, North West and London National Security hubs
 
 
 
 
 
 
 Hybri
 
 d: typically 3&ndash;4 days per week highside, depending on programme
 
 
 
 
 
 
 Salary:
 
 &pound;70,000 &ndash; &pound;120,000 plus bonus and benefits, depending on experience and SFIA grading
 
 
 
 
 
 
 Clearance
 
 : Active National Security clearance preferred
 
 
 
 The Opportunity:
 
 If you're a Data Engineer operating within NS and looking for broader technical exposure, greater ownership and a genuinely strong engineering culture, this is worth a look...
 
 
 
 
 
 We're supporting a specialist engineering consultancy that is rapidly expanding its NS capability following a number of major programme wins and long-term growth plans.
 
 
 
 
 
 What stands out about this organisation isn't just the technology. It's the environment.
 
 
 
 
 
 The business has built a reputation as a genuinely people-first employer, recognised through Best Workplace awards, strong Glassdoor reviews and consistent investment in learning and development. Engineers are trusted to shape solutions, work closely with customers and continue developing their skills through dedicated training and support programmes.
 
 
 
 
 
 Many people join from larger organisations looking for less red tape, broader project exposure and the opportunity to have a more visible impact.
 
 
 With significant growth planned over the next 18 months, there is a genuine opportunity to help shape capability as the team scales.
 
 
 .
 
 
 
 The Role
 
 
 
 As a Data Engineer, you'll help build secure cloud-native data platforms supporting analytics, operational intelligence and AI-enabled capability across NS programmes.
 
 
 
 
 
 Typical responsibilities include:
 
 
 
 
 
 &bull; Building scalable data pipelines and ETL frameworks using Python and modern cloud-native engineering approaches
 
 
 &bull; Developing AWS-based data platforms supporting analytics, operational intelligence and AI-re
 
 
 ady services
 
 
 &bull; Working with large-scale operational, geospatial and miss
 
 
 ion datasets
 
 
 &bull; Supporting distributed data architectures and secure cloud transformation
 
 
 initiatives
 
 
 &bull; Collaborating directly with the customer to solve complex data challenges and influence technical direction
 
 
 &bull; Contributing to modern engineering practices across automation, testing, observability and platform reliability
 
 
 The exact technology stack varies between programmes, but typically includes AWS, Python, distributed processing technologies and modern data engineering tooling.
 
 
 
 
 
 The organisation values engineering mindset, curiosity and stakeholder engagement far more than matching every technology perfectly.
 
 
 
 
 
 This role is particularly suited to engineers who enjoy combining cloud, data and customer-facing problem solving rather than operating within a narrow technical silo.
 
 
 
 
 
 
 Security Requirements
 
 
 
 Due to the nature of the work, candidates should already be operating within National Security, with the ability to work highside.
 
 
 
 
 
 
 Why Apply?
 
 
 
 &bull; Best Workplace recognised culture
 
 
 &bull; Strong Glassdoor reviews and positive employee feedback
 
 
 &bull; Significant investment in learning and development
 
 
 &bull; Broad exposure across cloud, analytics, geospatial and AI-enabled capability
 
 
 &bull; Growing National Security practice with genuine progression opportunities
 
 
 &bull; Opportunity to influence solutions rather than simply deliver against a specification
 
</div>

Data Engineer (National Security)

Software Engineer, AI Native Development

ServiceNow

<div>Company Description 
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone&mdash;freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow&mdash; helping 85% of the Fortune 500&reg; work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people. 
Job Description 
Team Bio:
ServiceNow&rsquo;s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.
Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.
Why This Role Matters:
Enterprises are raising the bar. AI initiatives must deliver business value&mdash;not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software.
As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build&mdash;owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation&mdash;delivering systems that are battle-tested in production and scalable across industries.
Who You Are:
You are a systems-minded, AI-native engineer who ships real software. You own the full stack&mdash;and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.
You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don&rsquo;t just debug code&mdash;you debug systems, context, and customer pain points.
You will:<ul><li>
Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI</li><li>
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments</li><li>
Codify reusable assets&mdash;libraries, prompts, scaffolds&mdash;to accelerate future engagements</li><li>
Shape developer experience by sharing feedback with platform and product teams</li></ul>
What You&rsquo;ll Do:<ul><li>
Deliver Production - ready solution in agile end-to-end sprints</li><li>
Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components</li><li>
Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed</li><li>
Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers</li><li>
Influence platform: inform product strategy through field-tested insights and extensible code</li></ul>
What Success Looks Like:<ul><li>
Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments</li><li>
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects</li><li>
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives</li><li>
Velocity and precision: You move fast without breaking things&mdash;shaping resilient, secure systems in high-stakes contexts</li><li>
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one</li></ul> 

Qualifications 
<ul><li>
Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI&rsquo;s potential impact on the function or industry</li><li>
Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles</li><li>
System architecture: Proven ability to design and implement AI-native software in production environments</li><li>
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)</li><li>
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management</li><li>
Performance &amp; observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring</li><li>
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org</li><li>
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale</li><li>
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code</li><li>
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters</li></ul>
Preferred Qualifications:<ul><li>
Experience integrating AI into SaaS platforms like ServiceNow or Salesforce</li><li>
Track record of production deployments in secure, regulated enterprise environments</li><li>
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds</li></ul> 

Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2026 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Forward Deployed Solution Engineer – Applied AI FDE

<div>
 
 Job Description
 
 
 
 We&rsquo;re seeking a future team member for the role of
 
 AI-Forward Software Engineer &mdash; AI Transformation Office
 
 ,
 
 Senior Vice President
 
 to join our team. This role is located in
 
 London
 
 .
 
 
 We are looking for a hands-on, AI-forward engineer to build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools like Claude Code and Windsurf daily, moving faster because of it, and bringing that AI-first mindset to everything from architecture decisions to code reviews.
 
 
 In this role, you&rsquo;ll make an impact in the following ways:
 
 
 <ul>
 <li>
 Analytical skills - understand the business problem first; leverage AI tools to accelerate solution design, not replace the thinking
 </li>
 <li>
 Initiative &amp; Ownership - run with tasks end-to-end, from scoping and prototyping to deployment, using AI-native tooling throughout - not just for coding, but across the entire workflow including design, testing, and documentation
 </li>
 <li>
 Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines
 </li>
 <li>
 Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling
 </li>
 <li>
 Participate in code reviews with an AI-first lens - evaluating not just the code, but how effectively AI tooling was leveraged in the build
 </li>
 <li>
 Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of daily workflow - not a side habit
 
 
 </li>
 </ul>
 To be successful in this role, we&rsquo;re seeking the following:
 
 
 <ul>
 <li>
 Required Skills
 </li>
 <ul>
 <li>
 Daily proficiency with AI coding tools such as Claude Code, Windsurf, Cursor, or GitHub Copilot - this is a baseline requirement, not a differentiator
 </li>
 <li>
 Python and/or Java for backend service development
 </li>
 <li>
 LLM integration experience - OpenAI, Anthropic, or equivalent APIs
 </li>
 <li>
 MCP, REST APIs, Microservices Architecture
 </li>
 <li>
 Cloud platforms - AWS, Azure, or GCP
 </li>
 </ul>
 <li>
 Preferred
 </li>
 <ul>
 <li>
 Agentic framework experience - LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector)
 </li>
 <li>
 Agile / SDLC tooling - Jira, Git, CI/CD pipelines
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
 
 
 Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what is all about. Join us and be part of something extraordinary.
 
 
 
 About The Team
 
 
 
 At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom &amp; BNY LinkedIn
 
 
 
 Here&rsquo;s a Few Of Our Recent Awards
 
 
 
 <ul>
 <li>
 America&rsquo;s Most Innovative Companies, Fortune, 2025
 </li>
 <li>
 World&rsquo;s Most Admired Companies, Fortune 2025
 </li>
 <li>
 &ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025
 
 
 </li>
 </ul>
 
 Our Benefits And Rewards
 
 
 
 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
 
 
 BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
</div>

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Escalent

<div>Who We Are
Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world&rsquo;s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver&mdash;for each other and our clients&mdash;to make the world work better for people. 
 
Overview
We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. 
 
Responsibilities
<ul><li>Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment
</li></ul><ul><li>Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems
</li></ul><ul><li>Build and optimize data pipelines for structured and unstructured data used in AI application workflows
</li></ul><ul><li>Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation
</li></ul><ul><li>Optimize application and model integration performance for scalability, reliability, latency, and maintainability
</li></ul><ul><li>Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions
</li></ul><ul><li>Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development
</li></ul><ul><li>Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability
</li></ul><ul><li>Write clean, structured, and well-documented code aligned with the team&rsquo;s engineering standards and development best practices
</li></ul><ul><li>Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development 
</li></ul> 
Required Skills
<ul><li>5-8 years of Python development experience, with 2+ years of AI/ML development
</li></ul><ul><li>Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI
</li></ul><ul><li>Experience with API development, integration, and web services in production environments
</li></ul><ul><li>Hands-on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications
</li></ul><ul><li>Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications
</li></ul><ul><li>Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes
</li></ul><ul><li>Understanding of asynchronous programming, performance optimization, and scalable backend architectures
</li></ul><ul><li>Experience with unit testing, debugging, version control, and software engineering best practices
</li></ul><ul><li>Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval-based AI patterns is a strong plus
</li></ul><ul><li>Ability to work effectively in a collaborative team environment with strong problem-solving and execution skills 
</li></ul> 
Desirable Skills
<ul><li>Experience working with Agile development methodologies
</li></ul><ul><li>Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows
</li></ul><ul><li>Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications
</li></ul><ul><li>Strong written and verbal communication skills with the ability to document technical solutions clearly</li></ul></div>

AI Transformation Developer

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