Episode Six
Fintech
AISpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Specialist at Episode Six. Skills: AI Specialist, Solution architecture, Client engagement, AI solutioning. Partition solutions. Support definition of project specifications”
What You'll Achieve.
Deliver AI solutions; Continuously improve AI solutions; Ensure proposals meet client requirements; Align proposals with technology strategy; Align proposals with technology standards; Support sales goals; Support productivity goals; Support profitability goals; Support industry penetration goals; Optimize AI solutions against metrics; Support ongoing improvement
Industry & Context.
Troubleshooting AI pipeline performance; Resolving accuracy problems; Resolving reliability problems; Resolving throughput problems; Performance issue resolution
Travel may be required
What They're Looking For.
Must Have
8-10+ years customer-facing roles, 8-10+ years solution architecture, 8-10+ years technical design, Demonstrated LLM application deployment, Deep RAG architecture understanding, Proven prompt engineering capability, Working knowledge foundational models, Experience with APIs, Experience with cloud infrastructure, Ability to evaluate AI solution quality, Ability to drive continuous improvement, Excellent communication skills (English)
Nice to Have
Financial services experience, Technology experience, Coding ability, Python coding ability, FastAPI experience, LangChain / LangGraph experience, Async programming experience, Redis integration experience, Multi-model architecture experience, AI evaluation frameworks experience, Experience in regulated industries, PCI DSS awareness, SOC 2 awareness, GDPR awareness, Payment processing knowledge, Developer tooling experience, Developer portals experience, API documentation systems experience, AWS ECS experience, AWS OpenSearch Serverless experience, AWS ElastiCache experience, AWS Bedrock experience, AWS CloudWatch experience, WebSocket / SSE streaming experience, Java application architecture knowledge, Cloud infrastructure knowledge, On-premises infrastructure knowledge
What You'll Do.
Support definition of project specifications
Support definition of requirements
Support definition of development needs
Ensure AI solutions delivered per scope
Ensure AI solutions delivered per quality
Ensure AI solutions delivered per timelines
Provide solutions assurance
Ensure proposals meet client requirements
Align proposals with technology strategy
Align proposals with technology standards
Articulate technical risks
Manage technical risks
Support productivity goals
Support profitability goals
Support industry penetration goals
Assist developing strategies
Assist developing materials
Contribute to AI roadmap
Shape future AI solutions
Shape future AI capabilities
Provide subject matter expertise
Own AI solutions design
Own AI solutions architecture
Select foundational models
Configure foundational models
Lead prompt engineering efforts
Design system prompts
Design multi-turn agent workflows
Design output parsing
Design RAG architectures
Implement RAG architectures
Select embedding models
Select vector databases
Implement hybrid retrieval
Evaluate AI solutions
Benchmark AI solutions
Optimise AI solutions
Troubleshoot AI pipeline performance
Resolve accuracy problems
Resolve reliability problems
Resolve throughput problems
Ensure AI solutions architecturally sound
Ensure AI solutions secure
Ensure AI solutions aligned with compliance
Maintain knowledge of foundational models
Advise on model selection
Advise on vendor capabilities
Advise on emerging techniques
Build AI evaluation frameworks
Maintain AI evaluation frameworks
How You'll Work.
Team & Collaboration
Client engagements; Internal stakeholders; Engineering teams; Product teams; Security teams; Business stakeholders
Communication Scope
Articulate AI concepts; Verbal communication; Visual communication; Written communication
Process & Methodology
Project specifications, Project requirements, Development needs, Agreed scope, Agreed quality, Agreed timelines
Full Job Description
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-Faci
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