Senior AI Architect/Engineer

🔥 17 hours ago

🌐 United States, United Kingdom, +1 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇧🇷 Brazil – Remote

🌵 Arizona, California, +17 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Transaction Network Services (TNS)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

📡 Telecommunications

💳 Fintech

🔐 Security

Telecommunications • Fintech • Security

Transaction Network Services (TNS) is a technology company that specializes in providing secure network solutions for businesses. TNS offers a range of services, including communications and connectivity solutions for financial markets, payments markets, and enterprises. Their services include call authentication, robocall protection, low latency trading infrastructure, and managed hosting, among others. TNS aims to reduce complexity and enhance security and interoperability with innovative Infrastructure-as-a-Service (IaaS) solutions that support businesses in connecting, transacting, and operating seamlessly across the globe. The company is known for its resilience and trusted network infrastructure services, benefiting clients ranging from telecommunications to financial services and payment solutions providers.

📋 Description

• Research, design, plan, develop, and evaluate advanced network technologies by translating customer requirements and strategic objectives into product designs • Build and operate a secure, production-grade AI platform using AWS Bedrock • Own Claude deployment, model access and versioning, data residency, throughput, private VPC-isolated hosting, and model routing • Build and maintain application harnesses for prompt and context management, tool and function calling, agent orchestration, retrieval pipelines, guardrails, caching, and fallback behavior • Own evaluation harnesses, regression suites, quality benchmarks, and model release processes • Design secure, governed AI connections to Microsoft 365, Graph, SharePoint, databases, warehouses, APIs, and line-of-business systems • Own retrieval architecture, indexing, freshness, and permission trimming • Architect least-privilege identity, network, and data access using IAM, Entra ID, encryption, key management, secrets handling, and tenant isolation • Defend against prompt injection, data exfiltration, insecure tool use, and over-permissioned agents • Instrument monitoring and observability for latency, errors, throughput, quality, drift, guardrail trips, and anomalous usage • Manage AI costs through attribution, budgets, model right-sizing, caching, context optimization, batching, and throughput decisions • Create reusable patterns, templates, and guardrails for future AI use cases • Embed with Communications, Waypoint, Payments, and Corporate/Shared teams to identify AI and automation opportunities • Prototype, validate with users, ship production solutions, drive adoption, and measure business value • Enable AI champions across each line of business • Establish use-case intake and prioritization, cost transparency, and measurable first-year outcomes

🎯 Requirements

• Strong software / solutions engineering background with hands-on experience building and deploying production AI/LLM applications, including RAG, agents, tool use, orchestration, and evaluation • Direct experience with a managed model platform in production; AWS Bedrock strongly preferred, along with AWS IAM, VPC, KMS, CloudWatch, and PrivateLink • Demonstrated ability to build and operate data connectivity to enterprise systems with permission-aware retrieval • Working command of enterprise security and data governance, including identity and access, data protection, encryption and key management, and AI-specific threat models • Production operations experience, including monitoring and on-call ownership for live systems • Cost discipline and ability to attribute inference spend • Business fluency and communication skills for translating finance, operations, or sales problems into solutions • Demonstrated bias toward shipping and adoption rather than only building demos • Microsoft / Azure ecosystem experience, including Azure AI, Copilot Studio, Power Platform, Entra ID, and SharePoint / Graph (nice to have) • Experience in a regulated or security-sensitive industry such as payments, telecom, or financial data (nice to have) • Self-hosted or fine-tuned model experience (nice to have) • Infrastructure-as-code and CI/CD for AI systems, including Terraform, pipelines, and automated evaluations (nice to have) • Change-management or internal-consulting experience (nice to have) • Prior forward-deployed or customer-facing engineering experience (nice to have)

🏖️ Benefits

• Medical coverage • Dental coverage • Life insurance • Paid holidays and vacations • 401K plan with company match