AI Specialist

Episode Six US

Chennai2w ago

About the role

How do you want to pay? It’s a question you’ve answered 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 the seemingly impossible happen every day.  We’re a global provider of API-based issuer processing and ledger infrastructure. We’re 100% cloud-native, hyper-configurable, and a “Top 10 Place to Work in Fintech.” And we’re changing how people think about payments.  Today, we’re powering payments for some of the world’s largest banks and numerous innovative 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 we launched with HSBC, we have grown more than 10x.  Interested in redefining what’s possible in payments? Join Episode Six today.  What we’re hiring for:   We are a growing fintech organization looking to add an AI Specialist to 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 delivery, optimization, 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.  What you’ll be responsible for in this role:   Client-Facing & Solution Leadership  <ul> <li>Lead technical pre-sales exercises with customers, with a focus on AI capabilities and use cases </li> <li>Prepare and deliver compelling technical presentations, responses and demonstrations of AI solutions to both technical and business audiences </li> <li>Lead the design of AI solutions from conception to delivery, shaping clients’ thinking and articulating a clear path from business problem to production system </li> <li>Craft well-defined descriptions of operations and statements of work; partition solutions and support the definition of project specifications, requirements, and development needs </li> <li>Work with development teams and project managers to ensure AI solutions are delivered per the agreed scope, quality, and timelines </li> <li>Provide solutions assurance, ensuring proposals meet client business requirements and align with our technology strategy and standards </li> <li>Articulate and manage technical risks across AI engagements, including model reliability, data quality, security, and compliance considerations </li> <li>Support Episode Six’s goals and objectives including those related to sales, productivity, profitability, and industry penetration </li> <li>Assist in developing strategies and materials in support of Episode Six’s overall solution architecture practice, business development, and sales effort </li> <li>Contribute to our AI roadmap, shaping future AI solutions and capabilities </li> <li>Provide subject matter expertise on AI to clients and colleagues across the business </li> <li>Travel may be required to support client engagements </li> </ul> AI Architecture & Technical Delivery  <ul> <li>Own the design and architecture of AI solutions, including the selection and configuration of appropriate foundational models for each use case (cloud-hosted and on-premises inference) </li> <li>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 </li> <li>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 </li> <li>Evaluate, benchmark, and continuously optimise AI solutions against defined quality metrics, including retrieval accuracy, hallucination detection, response quality, and latency </li> <li>Troubleshoot AI pipeline performance issues, identifying and resolving accuracy, reliability, and throughput problems across cloud and on-premises inference environments </li> <li>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) </li> <li>Maintain deep and current knowledge of the rapidly evolving foundational model landscape, advising leadership and clients on model selection, vendor capabilities, and emerging techniques </li> <li>Build and maintain AI evaluation frameworks: automated metrics, regression testing, and continuous quality monitoring to support ongoing improvement </li> </ul> What experiences and skills are necessary to be successful in this role:   Required  <ul> <li>8–10+ years of experience in customer-facing roles, solution architecture, and/or technical design, ideally within financial services or technology </li> <li>Demonstrated experience designing and deploying LLM-powered applications in production (not just prototypes) </li> <li>Deep understanding of RAG architecture: document chunking strategies, embedding models, vector databases (e.g. OpenSearch, ChromaDB, Pinecone), hybrid retrieval, and re-ranking </li> <li>Proven prompt engineering capability: system prompts, tool-use definitions, output parsing, and multi-turn agent workflow design for complex, production-grade AI systems </li> <li>Strong working knowledge of foundational model ecosystems, including cloud-hosted inference (AWS Bedrock, Anthropic Claude, OpenAI, Gemini) and on-premises inference (Ollama, locally-deployed models) </li> <li>Excellent communication skills (English) — ability to engage across a broad range of stakeholders at the appropriate level, whether business or technical </li> <li>Strong ability to articulate AI concepts clearly: verbally, visually, and in writing </li> <li>Experience working with APIs and cloud infrastructure, particularly AWS </li> <li>Ability to evaluate AI solution quality and drive continuous improvement through structured measurement </li> <li>Very driven and self-motivated, able to work autonomously and make decisions confidently in ambiguous situations </li> <li>A team player with a ‘can-do’, entrepreneurial attitude that thrives in an agile, ever-changing environment </li> </ul> Highly Desirable  <ul> <li>Coding ability — particularly Python — to build, prototype, debug, and optimise AI solutions directly rather than purely directing others </li> <li>FastAPI, LangChain / LangGraph, async programming, Redis integration </li> <li>Experience working with multi-model architectures spanning cloud and on-premises inference environments </li> <li>Familiarity with AI evaluation frameworks: automated metrics (Recall@5, MRR, LLM-as-judge), human evaluation protocols, and regression testing </li> <li>Experience in regulated industries, with working awareness of PCI DSS, SOC 2, and GDPR requirements as they relate to AI systems </li> <li>Knowledge of payment processing concepts: card issuance, transaction authorisation, ledger management, multi-currency operations, and the global payments landscape </li> <li>Experience with developer tooling, developer portals, or API documentation systems </li> <li>Experience with AWS services including ECS, OpenSearch Serverless, ElastiCache, Bedrock, and CloudWatch </li> <li>Familiarity with WebSocket / SSE streaming for real-time AI response delivery </li> <li>Application architecture knowledge in Java-based systems and cloud/on-premises infrastructure </li> </ul> What makes a successful E6er?   <ul> <li>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. </li> <li>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. </li> <li>A people first mentality. Professional development from day 1, a 360 focus on your wellbeing, and the ability to work where you need to, we’re here to support you.  </li> </ul> 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 require additional assistance in engaging in our application and interview process. Please feel free to reach out to E6's Talent Acquisition Team at <a href="mailto:recruiting@episodesix.com">recruiting@episodesix.com</a> if you need any assistance completing our application or need accommodations during your interview process.

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