Agentic architectures jobs

AI Native Product Manager – Consultant

Accenture · Posted Nov 11, 2026

Open

London, England, United Kingdom
2–4 years

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AI Native Product Manager – Consultant

Accenture · Posted Nov 11, 2026

Open

London, England, United Kingdom
2–4 years

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Staff Software Engineer

ServiceNow · Posted Nov 12, 2026

Open

Hyderabad, Telangana, India
Staff
6+ years

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Lead the design and delivery of complex, cross-functional features across the platform, from architecture through production operations.

Responsibilities

Build AI-native capabilities, including LLM-integrated workflows, agentic patterns, prompt and context design, and evaluation pipelines, with reliability and governance built in.
Define and drive how the team uses AI tools across the development lifecycle: code generation, test automation, review, triage, and documentation.
Design for ServiceNow platform internals: Flow Designer, Workflow Studio, Decision Management etc
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.

Skills

Java JavaScript System design LLM-based features prompt design retrieval or context management agentic architectures

Senior Manager, AI CoE

Redwood Software · Posted Nov 9, 2026

Open

Hyderabad, Telangana, India
On-site
Full-time · Manager
7+ years

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Lead the engineering team responsible for delivering Redwood's shared AI platform and agentic capabilities, translating AI strategy into an executable engineering roadmap and building a high-performing team.

Responsibilities

Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations
Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives
Recruit, onboard, manage, and retain engineers with the skills required to build production-grade AI and agentic systems
Establish clear ownership, performance expectations, decision-making responsibilities, and development plans across the team
Drive predictable execution through effective planning, dependency management, risk identification, and operational readiness

Requirements

Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: Semantic Kernel
Nice to have: AI evaluation platforms
Nice to have: Model gateways

Skills

Generative AI Agentic architectures LLM-based applications

AI Data Technical Lead - Regulatory Affairs and China Clinical Development - Pharma R&D

Roche · Posted Nov 11, 2026

Open

Hyderabad, Telangana, India
Full-time · Lead
10+ years

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As an AI Data Technical Lead, you will act as a seasoned engineering leader who takes end-to-end ownership, drives software excellence, and actively challenges the status quo. In this role, you will foster a culture of technical mentorship and cross-functional collaboration while designing complex, full-stack software solutions. Blending advanced GenAI engineering, enterprise integration, open-source innovation, and AWS cloud expertise, you will lead the creation of production-grade, highly secure AI agents.

Responsibilities

Design, deploy, and scale multi-agent orchestration systems and autonomous workflows using cutting-edge frameworks
Build and optimize advanced retrieval-augmented generation (RAG) pipelines over massive, heterogeneous datasets
Implement robust state management, short/long-term memory systems, and self-correction/reflection loops within agent networks
Create and implement robust evaluation metrics, observability pipelines, and guardrails for content quality, hallucination reduction, bias mitigation, and safety standards
Monitor and optimize AI inference cost, latency, throughput, token usage, and overall system reliability

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field
Nice to have: DevOps practices

Skills

LLM frameworks agentic architectures

AI Data Technical Lead - Regulatory Affairs and China Clinical Development - Pharma R&D

Roche · Posted Nov 11, 2026

Open

Hyderabad, Telangana, India
10+ years

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Lead AI data engineering and regulatory compliance for Roche’s digital technology initiatives.

Responsibilities

Design and deploy multi-agent orchestration systems and autonomous workflows
Build and optimize advanced retrieval-augmented generation pipelines
Implement state management, memory systems, and self-correction loops
Create evaluation metrics, observability pipelines, and guardrails for content quality
Monitor and optimize AI inference cost, latency, throughput, and reliability

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field
Nice to have: Familiarity with cloud services
Nice to have: DevOps practices

Skills

Python R FastAPI LLM frameworks Agentic architectures Advanced RAG pipelines AWS

Staff Software Engineer, AI-Native Engineering - Flow

ServiceNow · Posted Nov 10, 2026

Open

Waltham, Massachusetts, United States
Senior
$150K–$262K per year
8+ years

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Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.

Compensation

For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation.
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.

Skills

TypeScript statically typed language system design LLM-based features

Senior Staff Software Engineer, AI-Native Engineering - Flow

ServiceNow · Posted Nov 10, 2026

Open

Addison, Texas, United States
Staff
12+ years

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Lead technical direction for AI-native engineering at Flow, a conversational AI service desk within ServiceNow, focusing on agent runtime, tool surface, prompt design, retrieval, and evaluation.

Responsibilities

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations
Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better – with reliability and governance built in
Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans

Skills

TypeScript statically typed language LLM-based features prompt design retrieval

Senior Staff Software Engineer, AI-Native Engineering - Flow

ServiceNow · Posted Nov 10, 2026

Open

San Diego, California, United States
Staff
$172K–$301K per year
12+ years

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Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations. Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in. Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation. Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage. Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans. Own production quality for your area, including defect triage, release readiness, and gate reviews.

Compensation

For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation.
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.

Skills

Senior Staff Software Engineer, AI-Native Engineering - Flow

ServiceNow · Posted Nov 10, 2026

Open

Remote, United States
Remote
Staff
$172K–$301K per year
12+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.

Compensation

For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation.
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.

Skills

TypeScript statically typed language system design LLM-based features

Staff Software Engineer, AI-Native Engineering - Flow

ServiceNow · Posted Nov 10, 2026

Open

San Diego, California, United States
Full-time · Staff
$150K–$262K per year
8+ years

Apply with RefersoAI Apply on careers page

Compensation

For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation.
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.

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