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Playtech

<div>
 
 
 About Playtech
 
 
 
 
 
 
 Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience.
 
 
 
 
 
 As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
 
 
 
 
 
 Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
 
 
 
 
 
 
 Ready to level up your career?
 
 
 
 
 
 
 We&rsquo;re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles.
 
 
 
 
 
 This is not about theory - it&rsquo;s about building AI that works in the real world!
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Your Influential Mission: You Will&hellip;
 
 
 
 
 
 <ul>
 <li>
 Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.
 </li>
 <li>
 Create reusable patterns, templates, and best practices for AI adoption across Playtech.
 </li>
 <li>
 Design agentic workflows that automate tasks, use APIs, and support complex processes.
 </li>
 <li>
 Stay current with AI trends and turn insights into demos, workshops, and recommendations.
 </li>
 <li>
 Partner with teams to turn ideas into real solutions and support AI adoption hands-on.
 </li>
 <li>
 Drive efficiency and productivity through AI across multiple business units.
 </li>
 <li>
 Improve solution quality, cost, and performance through better design and optimisation.
 </li>
 <li>
 Identify and mitigate AI risks, ensuring safe and responsible use.
 </li>
 <li>
 Contribute to AI standards, governance, and best practices.
 </li>
 <li>
 Share knowledge, mentor others, and raise the overall AI engineering bar.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Components for Success: You&hellip;
 
 
 
 
 
 <ul>
 <li>
 Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.
 </li>
 <li>
 Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.
 </li>
 <li>
 Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.
 </li>
 <li>
 Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.
 </li>
 <li>
 Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.
 </li>
 <li>
 Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.
 </li>
 <li>
 Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Get Extra Points for&hellip;
 
 
 
 
 
 <ul>
 <li>
 Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)
 </li>
 <li>
 AI evaluation or AI security experience.
 </li>
 <li>
 Agentic development experience (MCP, multi-agent systems).
 </li>
 <li>
 RAG implementation experience.
 </li>
 <li>
 Cloud DevOps or Terraform experience.
 </li>
 <li>
 Prior experience in iGaming, fintech, or another regulated industry.
 </li>
 <li>
 AI governance experience or interest.
 </li>
 <li>
 Coding experience, especially in Python
 </li>
 </ul>
 
 
 
 
 
 Thrive in a culture that values&hellip;
 
 
 
 
 
 <ul>
 <li>
 Ownership and accountability where you take responsibility for delivery, operations, and outcomes.
 </li>
 <li>
 Proactive collaboration across the business units and teams globally.
 </li>
 <li>
 Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.
 </li>
 <li>
 Versatile and exciting challenges that keep you going and growing.
 </li>
 <li>
 Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.
 </li>
 <li>
 Neat benefits &amp; bonus package.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 CENTRAL AI TEAM
 
 
 
 
 
 
 The team is Playtech&rsquo;s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact.
 
 
 
 
 
 Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
 
</div>

AI Solution Engineer

PLAYTECH

<div>Company Description 
About Playtech
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience.
As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
Ready to level up your career?
We&rsquo;re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. 
This is not about theory - it&rsquo;s about building AI that works in the real world! 
Job Description 
Your Influential Mission: You Will&hellip;<ul><li>
Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.</li><li>
Create reusable patterns, templates, and best practices for AI adoption across Playtech.</li><li>
Design agentic workflows that automate tasks, use APIs, and support complex processes.</li><li>
Stay current with AI trends and turn insights into demos, workshops, and recommendations.</li><li>
Partner with teams to turn ideas into real solutions and support AI adoption hands-on.</li><li>
Drive efficiency and productivity through AI across multiple business units.</li><li>
Improve solution quality, cost, and performance through better design and optimisation.</li><li>
Identify and mitigate AI risks, ensuring safe and responsible use.</li><li>
Contribute to AI standards, governance, and best practices.</li><li>
Share knowledge, mentor others, and raise the overall AI engineering bar.</li></ul> 

Qualifications 
Components for Success: You&hellip;<ul><li>
Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.</li><li>
Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.</li><li>
Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.</li><li>
Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.</li><li>
Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.</li><li>
Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.</li><li>
Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.</li></ul>
You&rsquo;ll Get Extra Points for&hellip;<ul><li>
Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)</li><li>
AI evaluation or AI security experience.</li><li>
Agentic development experience (MCP, multi-agent systems).</li><li>
RAG implementation experience.</li><li>
Cloud DevOps or Terraform experience.</li><li>
Prior experience in iGaming, fintech, or another regulated industry.</li><li>
AI governance experience or interest.</li><li>
Coding experience, especially in Python</li></ul>
Thrive in a culture that values&hellip;<ul><li>
Ownership and accountability where you take responsibility for delivery, operations, and outcomes.</li><li>
Proactive collaboration across the business units and teams globally.</li><li>
Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.</li><li>
Versatile and exciting challenges that keep you going and growing.</li><li>
Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.</li>
Neat benefits &amp; bonus package. 
<li>
</li></ul> 
 
Additional Information 
CENTRAL AI TEAM
The team is Playtech&rsquo;s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact.
Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.</div>

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

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

<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

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

AI Engineer

Astronomer

<div><div><h2 class="jobSectionHeader">Location</h2>
London
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
Customer</div></div>
 <div><div>Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow&reg;. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
<h2 class="jobSectionHeader">About this role:</h2>
As a Field Engineer, SWAT, you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you will be exposed to a wide range of use cases where Apache Airflow sits at the center of the solution.
The impacts you will make will enable customers to rapidly grow their businesses by adopting Astronomer products to meet their goals.
<h2 class="jobSectionHeader">What you get to do:</h2>
<ul><li>Implement Astronomer&rsquo;s software and services in the core of some of the world&rsquo;s largest businesses and organizations.
</li><li>Guide our largest and most complex customers in their Apache Airflow journeys
</li><li>Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.
</li></ul><h2 class="jobSectionHeader">What you bring to the role:</h2>
<ul><li>Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred)
</li><li>Expertise in at least one programming language.
</li><li>Good understanding of network complexities and architectures
</li><li>Versatile Terminal and CLI user, this will be a hands-on role, frequently without access to a GUI
</li><li>Experience setting up and troubleshooting distributed systems
</li><li>Experience with complex SaaS infrastructure operating at scale
</li><li>Experience with at least one major cloud provider API/tooling
</li><li>Ability to read code
</li><li>Work effectively with git
</li><li>Cloud-native data architecture experience
</li><li>Strong customer facing skills
</li><li>Strong oral and written communications skills - should be able to explain complex technical issues to non-technical folks succinctly
</li></ul><h2 class="jobSectionHeader">Bonus points if you have:</h2>
<ul><li>Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect
</li><li>Proficiency in Python/Go.
</li><li>Enterprise data experience with or in regulated environments
</li><li>Experience with scripting/automation specifically infra (Pulumi, Terraform, Ansible, etc.)
</li><li>5+ years experience in a data engineering role or equivalent
</li><li>3+ years in a customer-facing role
</li><li>Experience with ElasticSearch/Prometheus/Vault
</li></ul>#LI-Hybrid
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div></div>

Field Engineer, SWAT

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