AI Specialist

How do you want to payItsa questionyouveanswered on-screen or in-person thousands of times but your choices have always been limited. Imagine the flexibility to pay however you want card QR code credit installments debit multiple currencies reward points or a combination of any of these - all on the same Account. Sound impossible Episode Six makes theseemingly impossiblehappen every day.

Werea global provider of API-based issuer processing and ledger 100% cloud-native hyper-configurable and a Top 10 Place to Work in Fintech. Andwerechanging how people think about payments.

Todaywerepowering payments for some of the worlds largest banks andnumerousinnovative fintechs. E6 is headquartered in Austin with offices in Tokyo Singapore Brisbane and London. We provide technology for clients in 24 countries on four continents. Since 2018 when welaunched withHSBC we have grown more than 10x.

Interested in redefiningwhatspossible in payments Join Episode Six today.

Whatwerehiring for:

We are a growing fintech organization looking to add anAI Specialistto our team!

This is a distinctive role that sits at the intersection of solution architecture client engagement and artificial intelligence. You will be the primary AI expert within the team responsible for both internal and external AI solutioning working closely with clients business stakeholders and engineering teams to design deliver and continuously improve AI-powered solutions.

The role is primarily client-facing and solution-oriented drawing on the depth of a Solutions Architect with a strong secondary responsibility for the hands-on technical deliveryoptimization and troubleshooting of AI systems. The ability to code is highly desirable: the ideal candidate can move fluidly between whiteboarding a solution with a client and diving into the pipeline to resolve a performance issue.

Whatyoullbe responsible forin this role:

Client-Facing & Solution Leadership

• Lead technical pre-sales exercises with customers with a focus on AI capabilities and use cases
• Prepare and deliver compelling technical presentationsresponsesand demonstrations of AI solutions to both technical and business audiences
• Lead the design of AI solutions from conception to delivery shaping clients thinking and articulating a clear path from business problem to production system
• Craft well-defined descriptions of operations and statements of work; partition solutions and support the definition of project specifications requirements and development needs
• Work with development teams and project managers to ensure AI solutions are delivered per the agreed scope quality and timelines
• Provide solutions assurance ensuring proposals meet client business requirements and align with our technology strategy and standards
• Articulate and manage technical risks across AI engagements including model reliability data quality security and compliance considerations
• Support Episode Sixs goals andobjectivesincluding those related to sales productivity profitability and industry penetration
• Assistin developing strategies and materials in support of Episode Sixs overall solution architecture practice business development and sales effort
• Contribute to our AI roadmap shaping future AI solutions and capabilities
• Provide subject matterexpertiseon AI to clients and colleagues across the business
• Travelmay berequiredto support client engagements

AI Architecture & Technical Delivery

• Own the design and architecture of AI solutions including the selection and configuration ofappropriate foundationalmodels for each use case (cloud-hosted and on-premises inference)
• Lead prompt engineering efforts: system prompts tool-use definitions multi-turn agent workflows output parsing and guardrail design to ensure accuracy safety and commercial-grade quality
• Design and implement Retrieval-Augmented Generation (RAG) architectures: document ingestion and chunking strategies embedding models vector databases hybrid retrieval (dense and sparse) re-ranking and context assembly
• Evaluate benchmark and continuously optimise AI solutions against defined quality metrics including retrieval accuracy hallucination detection response quality and latency
• Troubleshoot AI pipeline performance issuesidentifyingand resolving accuracy reliability and throughput problems across cloud and on-premises inference environments
• Work with internal stakeholders engineering security and product to ensure AI solutions are architecturally sound secure and aligned with compliance requirements (including PCI DSS and SOC 2)
• Maintain deep and current knowledge of the rapidly evolving foundational model landscape advising leadership and clients on model selection vendor capabilities and emerging techniques
• Build andmaintainAI evaluation frameworks: automated metrics regression testing and continuous quality monitoring to support ongoing improvement

What experiences and skills are necessary to be successful in this role:

• 810 years of experience in customer-facing roles solution architecture and/or technical design ideally within financial services or technology
• Demonstrated experience designing and deploying LLM-powered applications in production (not just prototypes)
• Deep understanding of RAG architecture: document chunking strategies embedding models vector databases (e.g. OpenSearchChromaDB Pinecone) hybrid retrieval and re-ranking
• Proven prompt engineering capability: system prompts tool-use definitions output parsing and multi-turn agent workflow design for complex production-grade AI systems
• Strong working knowledge of foundational model ecosystems including cloud-hosted inference (AWS Bedrock Anthropic Claude OpenAI Gemini) and on-premises inference (Ollamalocally-deployedmodels)
• Excellent communication skills (English) ability to engage across a broad range of stakeholders at theappropriate level whether business or technical
• Strong ability to articulate AI concepts clearly: verbally visually and in writing
• Experience working with APIs and cloud infrastructure particularly AWS
• Ability to evaluate AI solution quality and drive continuous improvement through structured measurement
• Very driven and self-motivated able to work autonomously and make decisions confidently in ambiguous situations
• A team player with a can-doentrepreneurial attitude that thrives in an agile ever-changing environment

Highly Desirable

• Coding ability particularly Python to build prototype debug and optimise AI solutions directly rather than purely directing others
• FastAPILangChain/LangGraph async programming Redis integration
• Experience working with multi-model architectures spanning cloud and on-premises inference environments
• Familiarity with AI evaluation frameworks: automated metrics ( MRR LLM-as-judge) human evaluation protocols and regression testing
• Experience in regulated industries with working awareness of PCI DSS SOC 2 and GDPR requirements as they relate to AI systems
• Knowledge of payment processing concepts: card issuance transaction authorisation ledger management multi-currency operations and the global payments landscape
• Experience with developer tooling developer portals or API documentation systems
• Experience with AWS services including ECS OpenSearch ServerlessElastiCache Bedrock and CloudWatch
• Familiarity with WebSocket / SSE streaming for real-time AI response delivery
• Application architecture knowledge in Java-based systems and cloud/on-premises infrastructure

What makes a successful E6er

• We appreciate the unique backgrounds skill sets experiences and contributions each E6er brings. With a strong culture of respect for all we foster an inclusive and supportive environment for every E6er to excel and grow.
• We take immense pride in everything we do no matter how big or small. We work hard we work smart and we sweat the details. We are humble enough to know that we do not know it all. We are excited to come to work every day knowing we will be learning improving innovating and making an impact.
• Apeoplefirst mentality. Professional development from day 1 a 360 focus on your wellbeing and the ability to work where you need towerehere to support you.

E6 is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin sex sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability genetic information political views or activity or other applicable legally protected characteristics.

E6 is committed to providing reasonable accommodations for qualified individuals with disabilities who may requireadditionalassistance in engaging in our application and interview process. Please feel free to reach out to E6s Talent Acquisition Team atif you need anyassistancecompleting our application or needaccommodationsduring your interview process.