Senior AI Engineer - Voice & Agentic Systems
About the job
- At least 5 years of backend or platform engineering experience.
- Strong proficiency in Python, Java, C#, or .NET, with a solid foundation in data structures, algorithms, application programming interfaces, and distributed systems.
- Hands-on experience designing or building large language model-powered applications, agentic workflows, tool or function calling, state management, retrieval patterns, and multi-step task orchestration.
- Practical experience with conversational artificial intelligence, speech-to-text, text-to-speech, natural language processing or natural language understanding, real-time voice interaction patterns, or voice assistant platforms.
- Experience moving artificial intelligence solutions from prototype to production with attention to latency, reliability, scalability, observability, cost efficiency, and operational resilience.
- Experience defining evaluation methods for artificial intelligence systems, including prompt testing, response quality, hallucination risk, tool-call accuracy, routing performance, A/B testing, and regression validation.
- Experience deploying services on Azure, AWS, or similar cloud platforms using containers, serverless architecture, continuous integration and continuous delivery pipelines, infrastructure as code, and secure configuration practices.
- Ability to design solutions that protect sensitive data and align with privacy, security, Responsible AI, and regulated-industry expectations.
- Strong debugging, root-cause analysis, and production support skills across complex, asynchronous, distributed, and non-deterministic systems.
- Demonstrated curiosity and ability to rapidly evaluate emerging artificial intelligence frameworks, models, research patterns, and architecture approaches for practical enterprise use.
- Architect and deliver enterprise-scale agentic voice artificial intelligence systems combining deterministic workflow control, large language model-driven reasoning, tool orchestration, memory management, and secure application programming interface integration across regulated banking use cases.
- Build production-grade agentic artificial intelligence solutions integrating speech-to-text, text-to-speech, large language models, cognitive services, and backend enterprise systems for natural, reliable, real-time customer interactions.
- Design agentic workflows enabling artificial intelligence systems to complete complex, multi-step tasks through structured planning, function calling, tool routing, state management, and appropriate human-in-the-loop escalation.
- Optimize real-time voice interactions for low latency, reliability, scalability, and cost efficiency through streaming architecture, token optimization, semantic caching, prompt tuning, and performance engineering.
- Deploy highly available artificial intelligence services using cloud-native architectures across Azure and AWS, including Kubernetes, container platforms, serverless services, multi-region resilience, and secure DevOps practices.
- Build evaluation, experimentation, and observability frameworks measuring conversational quality, routing accuracy, latency, containment, hallucination risk, tool-call reliability, and production performance.
- Implement security, privacy, Responsible AI, and compliance guardrails to protect sensitive customer data and meet financial-services regulatory expectations.
- Troubleshoot complex issues across distributed artificial intelligence systems, including network latency, model behavior, prompt failures, token-limit breaches, application programming interface errors, orchestration defects, and non-deterministic agent outcomes.
- Collaborate with product, architecture, engineering, cloud, data, security, and business teams to translate business requirements into scalable artificial intelligence solutions.
- Mentor engineers in AI-first software engineering practices, including reusable component design, automated testing, defensive programming, observability, deployment discipline, and production support.
- Experience delivering artificial intelligence, cloud, or customer engagement solutions in banking, fintech, or other regulated industries.
- Experience with contact center modernization, interactive voice response transformation, contact-center-as-a-service platforms, or enterprise customer experience systems.
- Experience taking emerging artificial intelligence concepts from research or prototype into reliable, secure, and scalable production implementations.
- An advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
About the company
Fidelity National Information Services provides technology solutions for financial institutions and businesses worldwide, spanning core banking, digital banking, payments, trading, risk management, and securities processing. Its products are integrated software platforms that banks and other firms embed to process transactions, manage risk, and handle back‑office operations, with revenue from software licenses, maintenance, and transaction-based fees. It differentiates itself by offering an end‑to‑end, globally deployed suite across banking, payments, and capital markets, plus implementation and support services. Its goal is to help clients navigate digital transformation and operate more efficiently through reliable, scalable technology platforms.
Company Size
1-10
Company Stage
IPO
Headquarters
Jacksonville, Florida
Founded
1968
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 29% to $3.4 billion; adjusted EPS reached $1.48.
- September 2026 wins included Kredittbanken, Open Bank, and millions of added core accounts.
- FIS launched AI-enabled transaction clarity, retirement, and embedded banking products in September 2026.
What critics are saying
- Capital Markets revenue lagged in Q2 2026, forcing lower full-year adjusted revenue guidance.
- Debt stood at $21.2 billion on June 30, 2026, limiting acquisitions until deleveraging.
- Legacy rivals and cloud natives can unbundle FIS; persistent core losses would hollow out the franchise.
What makes Fidelity National Information Services unique
- FIS spans banking, payments, and capital markets, letting clients consolidate vendors.
- September 2026 embedded banking, retirement, and debit upgrades deepen its cross-lifecycle platform.
- Gartner recognized FIS in North America retail core banking leadership on September 22, 2026.
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Benefits
Hybrid Work Options
Company News
FIS has launched FIS Agentic Insights Suite, an agentic AI tool that helps chief financial officers manage collections, liquidity, risk, and cash flow from a single view. The Jacksonville, Florida company announced the product on October 12, 2026. A new cash flow forecasting module uses machine learning and simulations to project cash across configurable time horizons. It tests how delayed inflows or faster outflows would affect liquidity. The suite combines a company's own data from ERP, treasury, and CRM systems with external credit bureau and public data. It scores accounts in real time and recommends next steps. FIS says the suite deploys in weeks and connects to its receivables and treasury products. Future releases will add payment anomaly detection and dispute forecasting. A Deloitte survey found 46% of global finance leaders see working capital optimisation as a top area for agentic AI, while 14% had fully integrated AI agents.
FIS Launches Agentic AI Suite for the Office of the CFO. FIS has launched an agentic AI suite for the office of the CFO, deploying autonomous AI agents across collections, liquidity, risk and cash flow management. What happened. FIS has launched an agentic AI suite built for the office of the CFO, aimed at helping finance leaders manage collections, liquidity, risk and cash flow. The banking technology vendor's new offering applies autonomous AI agents to core treasury and finance workflows rather than the customer-facing functions that have dominated most agentic AI launches to date. The suite is positioned to sit across multiple finance operations simultaneously, suggesting FIS is targeting the connective tissue between previously siloed functions - cash positioning, risk monitoring and collections - rather than offering a single point solution. Why it matters. This launch signals a maturing of agentic AI beyond chatbots and front-line service automation into back-office financial decision-making, a domain where errors carry direct balance-sheet consequences. For banks and corporates, it points to AI agents increasingly taking on monitoring and judgement tasks - flagging liquidity risk, chasing collections, modelling cash flow scenarios - that previously required teams of analysts working across disconnected systems. For technology and transformation leaders, the move illustrates how enterprise software vendors are repackaging AI capability around specific executive functions (the CFO, rather than "finance" broadly), which may accelerate adoption by giving agentic AI a clear organisational owner and budget line. The renascence take. Agentic AI aimed at the CFO's desk is a useful test of whether autonomous systems can be trusted with judgement, not just execution - and that trust will be won or lost on explainability, not accuracy alone. Most coverage of agentic AI fixates on what the agents can do; the harder question is what CFOs will actually let them decide unsupervised. Liquidity and risk calls carry reputational and regulatory weight that a missed customer query does not, so the real design challenge here is behavioral: building enough transparency into each agent's reasoning that finance leaders feel ownership of the outcome, not just oversight of the output. Vendors who treat this as a trust-and-adoption problem, not a pure automation one, will win the office of the CFO faster than those who simply ship more capable agents. This briefing was written by its Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage. Questions Renascence get on this topic. It applies autonomous AI agents to core CFO-office functions - collections, liquidity management, risk monitoring and cash flow forecasting - rather than customer-facing tasks. More in Banking Stay ahead of CX Get the signal, not the noise. The stories shaping customer experience - plus the Journal and Experience Loom - in your inbox.
FIS Ranks First in 2026 IDC FinTech Rankings Top 100. Key Facts FIS(R)(NYSE: FIS) ranked No. 1 in the 2026 IDC FinTech Rankings Top 100, the Fortune 500-style benchmark of the world's largest technology providers to the global financial services industry, now in its 24th year. The ranking evaluates the top 100 global providers of financial technology Read more Go to the Source - FIS Ranks First in 2026 IDC FinTech Rankings Top 100 Sponsored links. Topical articles. You may also be interested in. Published 24 September 2026 Published 28 September 2026 7 October 2026 Disclaimer: This was news article was published by another website and was republished on the CTRM Center due to its informative merit and relative nature. If you have any issue with this post please contact CTRM Center
NovelVox achieves Five9 Select ISV Partner status to accelerate CX transformation in banking, credit unions, and healthcare. Oct 07, 2026, 09:00 ET Industry-ready integrations with Jack Henry, Fiserv, FIS, Corelation KeyStone, Oracle Health, and other core platforms help Five9 customers connect agent and AI-powered customer experiences with critical systems of record ROSWELL, Ga., Oct. 7, 2026 /PRNewswire/ - NovelVox, the execution layer for AI and unified agent experiences in regulated industries, today announced that it has achieved Select ISV Partner status with Five9 (NASDAQ: FIVN), provider of the Intelligent CX Platform. The elevated designation builds on NovelVox's existing Accreditation as a Five9 ISV partner and establishes a formal reseller relationship between the two companies, enabling a direct offer of NovelVox's Agent Accelerator solutions for banking, credit unions, and healthcare verticals, along with its Contact Center Integration Platform (CCIP), to joint customers. The milestone gives Five9 customers a streamlined, validated path to connect the Five9 Intelligent CX Platform with the core systems and workflows that power their industry operations. For Five9 customers, NovelVox brings ready integrations with platforms, including Jack Henry, Fiserv, FIS, Corelation KeyStone, and Oracle Health. These integrations make it easier to connect the contact center with systems of record and accelerate the deployment of industry-specific customer service, sales, and self-service workflows. For agents, NovelVox Agent Accelerator connects the Five9 experience directly into core systems of record, bringing customer, member, patient, and interaction context into a single view. Instead of switching between multiple applications to find information or complete routine actions, agents can execute workflows directly from a single view, improving productivity and creating more seamless customer interactions. NovelVox CCIP extends that same connectivity beyond the agent desktop into IVR, AI, and self-service experiences. Rather than simply answering questions, organizations can enable governed actions such as retrieving information, validating customer details, supporting transactions, and completing service workflows. The result is greater continuity across the customer journey. When an interaction moves from self-service to a live agent, the captured context moves with it, so customers don't repeat themselves and agents start with a clearer picture of what's already happened. "The next phase of customer experience is not simply about adding AI to the contact center - it is about connecting both AI and human interactions with the systems where customer work actually gets done," said Amit Gandhi, CEO of NovelVox. "Together, Five9 and NovelVox can help banking, credit union, and healthcare organizations bring that execution layer into their customer journeys. With industry-ready integrations and unified workflows, organizations can move faster while delivering more connected experiences across both agents and self-service." "Five9 gives banking, credit union, and healthcare organizations an AI-powered platform built for the contact center, and NovelVox brings the industry-ready integrations that connect it to the core systems where customer work actually happens," said Meg Higgins, SVP of Business Development at Five9. "That combination is especially powerful for regulated industries, where NovelVox's integrations with core banking and healthcare systems help agents resolve requests faster, reduce compliance risk, and give customers a more connected experience across both live and self-service channels." About NovelVox NovelVox is the execution layer for AI and unified agent experiences, helping enterprises connect customer interactions with the systems, workflows, and actions required to complete them. With more than 17 years of experience, 250+ customers, and 1,000+ installations, NovelVox supports organizations across healthcare, financial services, insurance, automotive, and other workflow-intensive industries through solutions designed to improve agent productivity, enable governed AI execution, and deliver connected customer experiences. SOURCE NovelVox
FIS sees smarter payments powering AI agents. FIS is developing 'transaction intelligence' to allow AI agents to navigate payments and financing options for consumers. Curated by Financing Your Way from original reporting by PYMNTS. Summary is AI-assisted and editorially reviewed - see its editorial standards. Artificial intelligence is moving beyond simple chatbots and into the world of autonomous transactions. FIS is focusing on 'transaction intelligence' to enable AI agents to handle payments on behalf of consumers. For retailers, this represents a shift from a customer manually clicking 'buy' to an automated system navigating the checkout flow based on pre-set preferences. This technology aims to reduce friction by predicting how a customer wants to pay, whether that is via credit, debit, or a Buy Now, Pay Later (BNPL) plan. The goal is to create a 'smarter' payment flow that recognizes the context of a purchase. For example, an AI agent could analyze a user's financial health in real-time to suggest the most cost-effective financing option at the point of sale. This could lead to higher conversion rates for high-ticket items, as the AI handles the complexity of applying for credit or selecting the right installment plan. Operators should prepare for a future where their checkout systems must communicate not just with human shoppers, but with digital assistants authorized to spend money. Who else is covering this