data engineer

ai engineer

senior software engineer

software engineer

full stack engineer

solutions engineer

Chaseit.

<div>
 
 
 About Chaseit
 
 
 
 Chaseit builds AI voice agents for loan servicing and collections. Our agents make tens of thousands of human-like calls every day for lenders across Europe and beyond &mdash; automating everything from payment reminders to payment-plan negotiation, in 10+ languages, while staying compliant and genuinely empathetic.
 
 
 We are a VC-backed startup with live customers, real revenue, and a lean team where every person has outsized impact.
 
 
 
 
 
 
 What you will do
 
 
 
 This is not a prompt-tweaking role, and it is not plain AI programming. As an AI Solutions Engineer, you own one question:
 
 are our agents measurably getting better at the outcomes our customers actually care about?
 
 
 
 You'll work side by side with our Deployment Strategists. They own the customer relationship and define what success looks like in production &mdash; payment rates, promise-to-pay, resolution, containment, escalations. You own turning those targets into a proactive, systematic improvement engine: forming hypotheses about what's holding a metric back, running experiments to test them, and shipping the changes that move the number.
 
 
 You will:
 
 <ul>
 <li>
 Own target metrics for live deployments alongside the Deployment Strategist, and treat moving them as the job &mdash; not a side effect
 </li>
 <li>
 Form hypotheses about what limits agent performance (conversation design, prompts, model choice, tooling, latency, handoff logic) and prioritise them by expected impact
 </li>
 <li>
 Design and run improvement experiments and A/B tests on real call traffic &mdash; define treatment and control, success metrics, guardrails, and sample sizes; then read the results honestly, including the ones that don't work
 </li>
 <li>
 Build and own automated improvement flows: eval pipelines that score every prompt, flow, and model change before it ships; regression suites that catch quality drops; online evaluation and monitoring that surface failures and metric regressions automatically
 </li>
 <li>
 Build evaluators and evaluation datasets (LLM-as-judge plus deterministic checks) that capture what "good" actually sounds like on a real collections call
 </li>
 <li>
 Mine production call data to find failure clusters and high-impact opportunities, then turn them into eval cases and experiments
 </li>
 <li>
 Close the loop: ship the winning changes, quantify the impact, document what you learned, and feed it back into how every agent is built
 </li>
 <li>
 Build the tooling and infrastructure that lets the whole team improve agents faster, and with confidence
 </li>
 </ul>
 
 Some days are deep experiment design and data analysis. Some days are firefighting a metric that dropped overnight. You should enjoy both.
 
 
 
 
 
 
 Why this role exists
 
 
 
 The obvious way to improve an AI agent is reactively: wait for issues to surface &mdash; a bug report, a flagged call, a piece of customer feedback &mdash; and fix them one by one. That work is real, and we take it seriously. It keeps quality from slipping and it earns customer trust.
 
 
 But responding to what's already visible isn't the same as systematically moving the numbers that decide whether a deployment succeeds. The biggest gains usually sit in patterns you only see when you go looking &mdash; across tens of thousands of calls, not one at a time &mdash; and they have to be proven, not assumed.
 
 
 That's why this role exists. We need someone who starts from the metric: who can find where payment rates or resolution are stuck, form a clear hypothesis about why, prove the fix with a clean experiment, and roll it out with confidence. Hypothesis, experiment, real-world impact &mdash; that's the discipline this role is built around.
 
 
 
 
 
 
 Who you are
 
 
 <ul>
 <li>
 3+ years building with LLMs or production AI/ML systems, with a track record of improving a system's performance through systematic evaluation and iteration &mdash; not vibes
 </li>
 <li>
 Strong in Python (TypeScript a plus) for coding, building evals, experiments, data pipelines, and analysis
 </li>
 <li>
 Fluent in evaluation and experiment design: offline and online evals, LLM-as-judge and code-based graders, A/B testing, and enough statistics to know when a result is real and when it's noise
 </li>
 <li>
 Comfortable in data: SQL, digging through logs and transcripts, building dashboards, and reasoning clearly about metrics
 </li>
 <li>
 Product sense and extreme ownership: you can define what success means for an ambiguous problem and drive it from hypothesis to production without being told what matters
 </li>
 <li>
 Comfort with ambiguity and intensity &mdash; priorities shift, metrics move, and some days are firefighting days. You stay calm and effective.
 </li>
 <li>
 Outstanding written English; you can explain a result or a trade-off clearly to engineers and non-technical stakeholders alike
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with conversational or voice AI, call-center operations, or QA of voice/chat systems
 </li>
 <li>
 Background in lending, collections, payments, or another regulated fintech domain
 </li>
 <li>
 Experience with experimentation platforms (e.g. Statsig) and AI observability / eval tooling (e.g. Arize Phoenix, LangSmith)
 </li>
 <li>
 Familiarity with agent orchestration frameworks and prompt engineering
 </li>
 <li>
 Experience with Linear and Notion
 </li>
 <li>
 Additional European languages
 </li>
 <li>
 Experience in high-growth or early-stage environments
 </li>
 </ul>
 
 
 
 
 
 What you'll get
 
 
 <ul>
 <li>
 Salary: &euro;40,000 &ndash; &euro;70,000 gross per year, depending on experience
 </li>
 <li>
 Equity: early team members get stock options, so you share in what we build
 </li>
 <li>
 Direct work with the founding team &mdash; your experiments shape the product and the roadmap
 </li>
 <li>
 A front-row seat to deploying AI agents at enterprise scale, in production, every day
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Remote or Vilnius, Lithuania (hybrid)
 
</div>

AI Solutions Engineer

London Business School

<div>Why London Business School

London Business School; a global and vibrant business community based in two of the world&rsquo;s most dynamic cities, London and Dubai. It&rsquo;s where extraordinary minds and diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students and participants, whilst creating a flexible, supportive and dynamic working environment for our people to excel in, whatever their location.
The Role

Design and deliver secure, scalable cloud solutions
London Business School are looking for an experienced Senior Cloud Solutions Engineer to help shape and operate secure, resilient and scalable cloud platforms that support the School&rsquo;s teaching, research and administrative mission.
This is an exciting opportunity for a technically strong cloud engineer who can combine architecture, automation and operational excellence to build sustainable cloud solutions in a complex and high-impact environment.
You will be responsible for designing, delivering and operating secure, resilient and scalable cloud platforms that support the School&rsquo;s teaching, research and administrative services.
You will provide technical leadership in the development and continuous improvement of Azure-based services, ensuring platforms are reliable, cost-effective and aligned with institutional strategy, security standards and regulatory requirements.
This role will lead the implementation of Infrastructure as Code using Terraform, drive automation and CI/CD practices through Azure DevOps, and ensure robust identity, access and device management using Entra and Windows-based services. You will also play a key role in integrating cloud services, including messaging and integration patterns using Azure Service Bus, to enable modern, connected digital services across the School.
As a subject matter expert, you will mentor colleagues, influence architectural decisions and collaborate with academic and professional services teams to translate business and research needs into sustainable cloud solutions
Main Responsibilities
<ul><li>Design, deliver and operate secure, scalable cloud platforms using Microsoft Azure.</li><li>
Lead the use of Infrastructure as Code approaches, including Terraform.</li><li>
Drive automation and CI/CD practices through Azure DevOps.</li><li>
Support the development of cloud strategy and evaluate cloud services and technologies.</li><li>
Design templates for code-driven cloud deployments with strong governance and security controls.</li><li>
Provide implementation guidance for modernising IaaS workloads into PaaS, containers or serverless solutions.</li><li>
Support the operation of resilient and scalable service bus capabilities to reduce point-to-point integrations.</li><li>
Work with application owners and developers to migrate integrations towards service bus patterns.</li><li>
Implement logging, monitoring, cost management, code repository and deployment lifecycle standards.</li><li>
Ensure cloud services meet security, availability and sustainability requirements.</li><li>
Share knowledge and support colleagues in building and operating cloud infrastructure.</li></ul>
Who we are looking for
<ul><li>Significant experience with software and infrastructure technologies in your specialist area.</li><li>
Strong communication skills, with the ability to engage a range of audiences.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to manage multiple internal and external stakeholders.</li><li>
Ability to prioritise and focus on material issues.</li><li>
Experience leading projects.</li><li>
Experience managing external suppliers or contractors.</li><li>
Financial management awareness and commercial acumen.</li></ul>
You will also bring strong experience in:<ul><li>
Infrastructure as Code</li><li>
Terraform</li><li>
JSON</li><li>
PowerShell</li><li>
XML</li><li>
Containerisation and Kubernetes</li><li>
AAD / Entra and OAuth integrations</li><li>
Git</li><li>
Azure DevOps / VSTS</li><li>
ARM</li><li>
Test-driven development</li><li>
RESTful services</li><li>
Azure Service Bus</li><li>
APIs</li><li>
Working in a continuous integration and Agile / Scrum-led environment</li><li>
One or more high-level programming languages and scripting experience</li></ul>
What you can expect from us
<ul><li>Generous annual leave of 27 days PLUS extra between Christmas and New Year!</li><li>
Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution)</li><li>
Free onsite gym and swimming pool</li><li>
Amazing range of professional development to support your career path</li><li>
Enhanced cycle to work scheme</li><li>
Wellbeing offering to support your physical, mental and financial health</li></ul>
At London Business School, we support Smart Working - a hybrid approach designed to help you achieve a healthy work-life balance while delivering the best outcomes for your role and the needs of our customers. All roles require a minimum of two days on campus each week to foster a vibrant, collaborative community.
For this role specifically, you will be expected to be on campus 2 days per week.
We operate with &lsquo;core hours&rsquo; &ndash; 10:00-15:00 &ndash; to maximise opportunities for connection and collaboration across teams during the working day. Outside of these hours, you may still be required for meetings or collaboration based on your role and customer needs. Additionally, we offer Protected Time - a flexible, one-hour slot, within the working week dedicated to your learning and development, wellbeing, or focused, quiet work
Our commitment to driving inclusion and belonging
We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion &amp; belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.
Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applying
Please note we start screening CVs and interviewing candidates from the start of a campaign. A successful candidate could progress to offer before the advertised closing date. We encourage you to apply as soon as possible if you are interested in any roles.</div>

Senior Cloud Solutions Engineer

Copperleaf Technologies Inc.

<div><div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
About the Role
As a Forward Deployed AI Engineer, you&rsquo;ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You&rsquo;ll lead the design and deployment of intelligent agents across customer workflows&mdash;owning everything from discovery and prototyping to configuration, testing, and launch.
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer&rsquo;s needs&mdash;ensuring rapid value delivery and laying the foundation for long-term success.
What You&rsquo;ll Do<ul><li>
Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows</li><li>
 Integrate IFS Loops platform with customer systems</li><li>
Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)</li><li>
Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption</li><li>
Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap</li><li>
Document technical decisions and hand off stable deployments to customer engineering or support teams</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
What We&rsquo;re Looking For<ul><li>
2&ndash;5 years of experience in a software engineering, solutions engineering, or ML deployment role</li><li>
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)</li><li>
Familiarity with building LLM applications, RAG systems, or conversational AI workflows</li><li>
Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)</li><li>
Ability to translate business problems into technical solutions&mdash;and deliver them fast</li><li>
Strong interpersonal skills; you&rsquo;re just as comfortable on a whiteboard with a customer as you are in code</li><li>
Bias toward action, ownership, and continuous learning in dynamic environments</li></ul>
Nice to Have<ul><li>
Background in SaaS, customer experience, support operations, or manufacturing systems</li><li>
Experience deploying AI in mission-critical environments</li><li>
Prior work with enterprise AI platforms or multi-agent orchestration</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div>
What We&rsquo;re Offering<ul><li>
Salary Range: List $150,000 to $170,000 annually + bonus</li><li>
Flexible paid time off, including sick and holiday</li><li>
 Medical, dental, &amp; vision insurance</li><li>
 401K with Company contribution</li><li>
 Flexible spending accounts</li><li>
 Life insurance and disability benefits</li><li>
 Tuition assistance</li><li>
 Community involvement and volunteering events</li></ul> 
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer</div></div></div> 

<div><div>
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply</div></div></div>

Forward Deployed AI Engineer: IFS Loops

Ciena

<div>As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We&rsquo;re a technology company that leads with our humanity&mdash;driving our business priorities alongside meaningful social, community, and societal impact.
Network Engineer, Early in Career<div><div>
Making a difference through the design and implementation of leading network technologies defines this early-career engineering role at Ciena. The position contributes to delivering high-quality network solutions and supports customer deployments with measurable impact. The role operates within a collaborative and inclusive environment focused on innovation and technical excellence.</div><div></div><div>
How you will make an impact:</div><ul><li>
Deliver post-sales solution engineering activities including solution design, acceptance, remote deployment, and network reconfiguration or migration under senior engineer supervision</li><li>
Interface with Systems Engineers, Service Project Managers, Technical Support, Field Service Engineers, and Customer Service Advocate teams to coordinate delivery activities</li><li>
Analyze network designs to enable consistent deployment and in-service upgrades of network equipment</li><li>
Translate network designs into solution designs for new builds, reconfiguration, and network upgrade projects</li><li>
Gather and analyze customer network data to develop migration strategies for transition onto platform solutions</li><li>
Review technical deployment packages with internal and external stakeholders to ensure clarity and alignment across deployment teams</li><li>
Troubleshoot and resolve technical deployment package issues in collaboration with engineering, customer, and internal teams</li></ul><div></div><div>
The must haves:</div><ul><li>
Education: Bachelor&rsquo;s degree in Electrical Engineering, Optical Engineering, or a related field</li><li>
Experience: Not more than 1 year of experience in a related discipline</li><li>
Application of Layer 0/1 optical or transmission technologies and/or</li><li>
Application of Layer 2-3 networking concepts including IP protocols</li><li>
Application of scripting or DevOps tools such as Python, Java, or Ansible</li><li>
Demonstrated ability to collaborate with cross-functional teams to resolve issues and establish best practices</li><li>
Ability to review and analyze project information to translate conceptual designs into implementation processes</li></ul><div></div><div>
Nice to haves:</div><ul><li>
Customer service interaction in technical environments</li><li>
Written and verbal communication in English</li><li>
Utilization of MS Office applications including Visio, Excel, and PowerPoint</li><li>
Ability to travel approximately 25%</li><li>
Ability to work during night maintenance windows approximately 25%</li><li>
Ability to manage multiple projects simultaneously</li><li>
Communications or technology-focused career interest</li></ul></div>
. 
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.</div>

Network Engineer - New Grad

<div><div>Location: London

Office requirement : 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal</div> 


At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. 

<h1 class="jobSectionHeader">
Sounds great, what will I be doing?</h1>

As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title &mdash; you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. 
<div>
A few things you'll be responsible for:

 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform &mdash; from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

 Partner with Enterprise AEs in late-stage sales cycles &mdash; leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.</div> 

<h1 class="jobSectionHeader">
What do I need to bring with me?</h1>

You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn.
 
Here's what the team will be looking for in you:

 Significant experience in software engineering, solutions engineering, or a customer-facing technical role &mdash; with meaningful time spent shipping production code in complex enterprise environments.

 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.

 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

 The ability to work through ambiguity and turn it into a concrete technical plan.

 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.

 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time). 


Nice to have:

 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

 A background in a high-growth B2B SaaS or AI-native company.

 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.

 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion. 


Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you.
<h1 class="jobSectionHeader">
What's in it for me?</h1>

At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.

 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.

 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.

 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.

 Career growth &ndash; Accredited learning, leadership development, and global career mobility.

 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving. 


Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. 

<h1 class="jobSectionHeader">
Diversity, Equity &amp; Inclusion</h1>

Diversity is fundamental to who we are&mdash;both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. 


#li-hybrid 
#LI-NIKOSSS1</div>

Forward Deployed Engineer

Avanade

<div>
 
 As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes.
 
 
 
 
 This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions.
 
 
 
 
 
 
 Role Responsibilities
 
 
 <ul>
 <li>
 Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value.
 </li>
 <li>
 Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services).
 </li>
 <li>
 Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services.
 </li>
 <li>
 Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards.
 </li>
 <li>
 Participate in client workshops, technical discussions, and solution shaping sessions.
 </li>
 <li>
 Support pre-sales activities when required through technical input, solution design, and proof-of-concept development.
 </li>
 <li>
 Develop reusable assets, patterns, and accelerators that strengthen Avanade&rsquo;s AI and automation capabilities.
 </li>
 <li>
 Stay current with emerging Microsoft AI technologies and contribute to internal AI &amp; Data communities of practice.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Hands-on experience delivering solutions using Microsoft Copilot Studio.
 </li>
 <li>
 Microsoft certifications in AI, Power Platform, or Azure (desirable).
 </li>
 <li>
 Awareness of governance, security, and responsible AI considerations in enterprise environments.
 </li>
 <li>
 Experience working in consulting or professional services organisations.
 </li>
 <li>
 Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management.
 </li>
 <li>
 Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse).
 </li>
 <li>
 Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills and Experience
 
 
 <ul>
 <li>
 Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions.
 </li>
 <li>
 Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions.
 </li>
 <li>
 Experience designing and delivering AI-driven or automation solutions in a client-facing environment.
 </li>
 <li>
 Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design.
 </li>
 </ul>
 
 
 
 
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 <ul>
 <li>
 Opportunity to work for
 
 Microsoft&rsquo;s Global Alliance Partner of the Year
 
 (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
 </li>
 <li>
 Access to global
 
 Data &amp; AI communities
 
 , accelerators, and subject‑matter experts
 </li>
 <li>
 The chance to work on complex, high‑impact initiatives across
 
 data governance, analytics, and AI
 
 </li>
 <li>
 Clear and supported career progression across Consultant and Senior Consultant levels
 </li>
 </ul>
 
 
 
 
 Find out more about some of our benefits here.
 
 
 
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look!
 
 
 
 
 
 We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page.
 
 
 
 
 
 Create a future for our people that focuses on
 
 
 &bull; Expanding your thinking &bull; Experimenting courageously &bull; Learning and pivoting
 
 
 
 
 
 Inspire greatness in our people by
 
 
 &bull; Empowering every voice &bull; Encouraging boldness &bull; Celebrating progress
 
 
 
 
 
 Accelerate the impact of our people by
 
 
 &bull; Amazing the client &bull; Prioritizing what matters &bull; Acting as one
 
 
 
 
 
 
 Learn more
 
 
 
 To learn more about the types of projects our Data Engineering team works on check out these case studies:
 
 <ul>
 <li>
 thyssenkrupp Materials Services uses data to help strike a delicate operational balance
 </li>
 <li>
 What matters to SSE Renewables is innovating for a sustainable future
 </li>
 </ul>
 
 
 
 
 Interested in knowing what&rsquo;s going on inside Avanade? Check out our blogs:
 
 <ul>
 <li>
 Avanade Insights &ndash; exchange ideas that drive tomorrow&rsquo;s innovation
 </li>
 <li>
 Inside Avanade &ndash; explore what life is like working at Avanade
 </li>
 </ul>
</div>

AI Engineer

Dentons

<div>
 
 
 Department/Division
 
 : Solutions/Innovation
 
 
 
 Duration
 
 : Permanent
 
 
 
 Type of Role
 
 : Hybrid
 
 
 
 Reference Number
 
 : 10203
 
 
 
 
 
 
 The Team
 
 
 
 
 
 
 The Innovation &amp; AI team sits within the Solutions function and is responsible for identifying, developing and scaling innovative solutions, including AI and legal technology, to enhance client service delivery and internal efficiency.
 
 
 
 
 
 The team works closely with IT, Office of the General Counsel (OGC), Procurement, Solutions/Helix and Practice Groups to pilot, implement and embed new tools and ways of working across the firm.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 The Applied AI Engineer designs, builds and productionises AI-enabled solutions for legal and business services delivery. Working consultatively with stakeholders and delivery teams, the role translates use cases into technical designs across Python applications, cloud workflows, enterprise platforms, AI skills, agents, integrations and automations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
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 Design, build and maintain AI-enabled applications, automations and internal tools using Python, cloud services and enterprise platforms.
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 Work with stakeholders to understand business problems, assess use cases and translate requirements into practical technical designs.
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 Build integrations between internal systems, enterprise platforms, external applications and AI services.
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 Develop reusable AI skills, agents, workflow components and automation patterns that can be adopted across the firm.
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 Build document-focused AI workflows, including extraction, summarisation, search, retrieval and due diligence support.
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 Productise AI pilots by improving reliability, maintainability, testing, evaluation, documentation and reuse.
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 Design and implement multi-step AI workflows, including tool-using, agentic and platform-native automations where appropriate.
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 Collaborate with product, UX, engineering, cloud, innovation and business teams to deliver secure, production-ready solutions.
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 Apply sound engineering judgement around confidential client data, privacy, security, governance and responsible AI.
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 Key Skills &amp; Experience
 
 
 
 
 
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 Python software engineering experience across applications, integrations, automations or internal tools.
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 Experience building or implementing AI/ML or LLM-enabled solutions in production or near-production settings.
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 Experience working with APIs, SDKs, cloud services and enterprise platforms.
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 Practical understanding of prompt engineering, RAG, LLM workflows or agentic patterns.
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 Ability to interview stakeholders and translate business processes into technical designs.
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 Experience with testing, debugging, documentation, Git and maintaining reliable systems.
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 Strong communication and problem-solving skills across technical and non-technical audiences.
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 Preferred:
 
 
 
 
 
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 Experience within a legal, professional services or other document-intensive enterprise environment.
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 Familiarity with document processing pipelines, unstructured data workflows or knowledge retrieval systems.
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 Experience with orchestration frameworks, agents, skill-building frameworks or workflow automation tools.
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 Experience building on enterprise AI platforms or comparable environments.
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 Exposure to governance, security, privacy and responsible AI considerations in enterprise environments.
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 Personal Attributes
 
 
 
 
 
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 Pragmatic and delivery-focused, with the ability to turn ambiguous ideas into working solutions.
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 Consultative and curious, able to ask good questions and challenge assumptions constructively.
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 Collaborative and comfortable working across multidisciplinary teams.
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 Adaptable in a fast-moving environment where requirements and technologies evolve.
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 Clear communicator who can explain technical concepts to non-technical stakeholders.
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 Firm Profile
 
 
 
 Across more than 80 countries, Dentons helps you grow, protect, operate and finance your organisation by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you. www.dentons.com
 
 
 
 
 
 
 Inclusion and Diversity
 
 
 
 We are committed to building an inclusive culture here at Dentons where our people can thrive, regardless of their background or circumstance. As well as being the right thing to do, it makes good business sense too. A richness of backgrounds, experiences and perspectives helps us best serve our clients and the communities in which we operate. You can find out more about inclusion and diversity at Dentons here: Inclusion and Diversity
 
 
 
 
 
 Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age, ethnicity, religion, sex, sexual orientation, gender identity, nationality, neurotype, disability, or with parental or caring responsibilities. We are also &ldquo;Happy to Talk Flexible Working&rdquo; and welcome conversations about flexible working arrangements.
 
 
 
 
 
 Dentons is a Disability Confident employer. Candidates with a disability may choose to apply under the Disability Confident Scheme. We will offer an interview to disabled applicants who meet the minimum criteria for the role. Where application volumes are high, we may offer interviews to those who best meet the minimum criteria, consistent with our approach for all candidates.
 
 
 
 
 
 During the application process, all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.
 
 
 
 
 
 If you have any questions about this or the role criteria, please email recruitment.matters@dentons.com.
 
 
 
 
 
 
 NO AGENCIES PLEASE
 
 
 
 If you are interested in applying for this position, we welcome direct applications via our careers page, but if you have any questions beforehand, please email recruitment.matters@dentons.com. Enquiries only please &ndash; applications will not be accepted via email.
 
 
 
 
 
 Please note that we will not accept unsolicited CVs sent to the business, nor will we accept any associated terms of business.
 
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Applied AI Engineer

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