Episode Six

Fintech

AISpecialist

₹22–35L ~AI est. India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Fintech
Problems you'll solve

Troubleshooting AI pipeline performance; Resolving accuracy problems; Resolving reliability problems; Resolving throughput problems; Performance issue resolution

Eligibility Requirements

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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