About the Role

Workato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:

Mandate 1 – AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.

Mandate 2 – Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.

This is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code.

Workato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.

Responsibilities

AI Field Specialist

• Support as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.
• Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
• Advise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
• Build reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.
• Develop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.
• Partner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.
• Support global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.
• May require up to 20% global travel.

Agentic CS Platform

• Architect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
• Design and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.
• Implement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.
• Define and design infrastructure architecture to ensure optimal performance and latency.
• Take scalable technology selection decisions.
• Establish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).

Requirements

Qualifications & Experience

• B.Tech/BE or higher in Computer Science, Engineering, or related field. 
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation.
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.

Applied AI & Agent Architecture (Must-Have)

• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.
• Experience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs.
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration.

Integration & Enterprise Architecture (Must-Have)

• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.

Nice-to-Have

• Background in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.
• Prior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.
• Contributions to open-source AI/agent projects or published technical content in the applied AI space.

General Soft Skills

• Exceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.
• Strong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.
• Entrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.
• Collaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.
• Excellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.
• Fast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.

(REQ ID: 2216)

Title: Senior AI QA Engineer
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior AI QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: Senior QA Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Overview

At Cognite, the Strategic Technical Advisor (Operations) acts as the operational "North Star" for our most complex, large-scale programs. This role is the bridge between global program leadership and the partner-led teams responsible for the long-term maintenance and reliability of the CDF platform.

Your mission is to ensure that the partner transitions from "building" to "operating" with world-class proficiency. You are the guardian of Operational Integrity. You ensure that distributed teams remain aligned with Cognite’s operational standards through influence, expert advisory, and technical vetting. You don't manage the day-to-day tickets; instead, you establish the "Operational Gold Standard"—the patterns for monitoring, performance, and platform health—and advise the partner on how to scale them.

Location & Travel: Based in Bangalore, India with some travel expected

What You’ll Do

1. The "Operational Gold Standard" & Prototyping

• Operational "Spiking": Before the partner implements a new operational workflow (e.g., automated scaling, new monitoring stack, or complex platform upgrade), you perform an "Operational Spike." You prototype the configuration to identify reliability risks and performance bottlenecks early and coordinate approval with the overarching technical governance team.
• Prescribing Runbooks: You act as a consultant to partner teams, advising on the logic and standards required for high-tier monitoring and CI/CD. Your role is to provide the "Gold Standard" methodology, mentoring the enterprise on how to adopt and implement these frameworks at scale.
• Operational Asset Management: Own the technical knowledge repository for platform operations. You ensure that all troubleshooting patterns, root-cause analyses, and optimization blueprints are documented to prevent knowledge silos in the partner team.

2. Operational Advisory & Governance

• Technical Audit of "Run": You develop and lead a technical audit framework for platform operations. You perform periodic "Deep Dives" into the partner’s platform configurations and maintenance scripts to independently assess if they meet Cognite’s standards for security and stability.
• SLO/SLI Stewardship: Audit the partner’s performance against Service Level Objectives (SLOs). You advise them on how to define and track meaningful indicators (SLIs) for data latency, API availability, and system throughput.
• Operations Vetting: Provide high-level technical advisory to ensure the partner implements platform upgrades and patches correctly. You act as the guardian of platform health without owning the daily operational tasks.

3. Scaling, Feedback Loops & Triaging Excellence

• Triaging Strategy & Upskilling: You are responsible for maturing the partner's ability to diagnose complex issues. You create "Triage Playbooks" and logic trees to teach partner resources how to systematically distinguish between source system issues (OT/IT), partner configuration errors, and Cognite product bugs.
• Training & Operational Onboarding: Create training paths focused on Site Reliability Engineering (SRE) principles within the CDF ecosystem. You support the onboarding of partner resources to ensure they operate the platform at "Cognite-grade" proficiency.
• Internal Product Feedback (Ops Focus): Act as the voice of the program to Cognite’s Product teams. You advocate for "serviceability" features—identifying where the product needs better observability or automated triaging tools to reduce the partner's operational overhead.

Who You Are

• 8–10+ years of experience in Platform Engineering, SRE, or Technical Operations Architecture.
• Technical Depth: Expert-level knowledge of cloud infrastructure (Azure/GCP), Kubernetes, CI/CD automation, and large-scale data platform monitoring.
• The "Advisory" Mindset: You excel at teaching others how to fish. You are comfortable being the "Auditor" who identifies gaps in the partner's operational discipline and provides the roadmap to fix them.

Traits That Make You Thrive

• Operational Rigor: You believe that manual intervention is a bug and that automated, observable systems are the only way to scale.
• Patience & Mentorship: You enjoy seeing a partner team mature from reactive firefighting to proactive platform stewardship.

Predictive Thinking: You have a "sixth sense" for platform instability and intervene through advisory before a crisis occurs.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Overview

At Cognite, the Strategic Technical Advisor (Operations) acts as the operational "North Star" for our most complex, large-scale programs. This role is the bridge between global program leadership and the partner-led teams responsible for the long-term maintenance and reliability of the CDF platform.

Your mission is to ensure that the partner transitions from "building" to "operating" with world-class proficiency. You are the guardian of Operational Integrity. You ensure that distributed teams remain aligned with Cognite’s operational standards through influence, expert advisory, and technical vetting. You don't manage the day-to-day tickets; instead, you establish the "Operational Gold Standard"—the patterns for monitoring, performance, and platform health—and advise the partner on how to scale them.

Location & Travel: Based in Bangalore, India with some travel expected

What You’ll Do

1. The "Operational Gold Standard" & Prototyping

• Operational "Spiking": Before the partner implements a new operational workflow (e.g., automated scaling, new monitoring stack, or complex platform upgrade), you perform an "Operational Spike." You prototype the configuration to identify reliability risks and performance bottlenecks early and coordinate approval with the overarching technical governance team.
• Prescribing Runbooks: You act as a consultant to partner teams, advising on the logic and standards required for high-tier monitoring and CI/CD. Your role is to provide the "Gold Standard" methodology, mentoring the enterprise on how to adopt and implement these frameworks at scale.
• Operational Asset Management: Own the technical knowledge repository for platform operations. You ensure that all troubleshooting patterns, root-cause analyses, and optimization blueprints are documented to prevent knowledge silos in the partner team.

2. Operational Advisory & Governance

• Technical Audit of "Run": You develop and lead a technical audit framework for platform operations. You perform periodic "Deep Dives" into the partner’s platform configurations and maintenance scripts to independently assess if they meet Cognite’s standards for security and stability.
• SLO/SLI Stewardship: Audit the partner’s performance against Service Level Objectives (SLOs). You advise them on how to define and track meaningful indicators (SLIs) for data latency, API availability, and system throughput.
• Operations Vetting: Provide high-level technical advisory to ensure the partner implements platform upgrades and patches correctly. You act as the guardian of platform health without owning the daily operational tasks.

3. Scaling, Feedback Loops & Triaging Excellence

• Triaging Strategy & Upskilling: You are responsible for maturing the partner's ability to diagnose complex issues. You create "Triage Playbooks" and logic trees to teach partner resources how to systematically distinguish between source system issues (OT/IT), partner configuration errors, and Cognite product bugs.
• Training & Operational Onboarding: Create training paths focused on Site Reliability Engineering (SRE) principles within the CDF ecosystem. You support the onboarding of partner resources to ensure they operate the platform at "Cognite-grade" proficiency.
• Internal Product Feedback (Ops Focus): Act as the voice of the program to Cognite’s Product teams. You advocate for "serviceability" features—identifying where the product needs better observability or automated triaging tools to reduce the partner's operational overhead.

Who You Are

• 10–15+ years of experience in Platform Engineering, SRE, or Technical Operations Architecture.
• Technical Depth: Expert-level knowledge of cloud infrastructure (Azure/GCP), Kubernetes, CI/CD automation, and large-scale data platform monitoring.
• The "Advisory" Mindset: You excel at teaching others how to fish. You are comfortable being the "Auditor" who identifies gaps in the partner's operational discipline and provides the roadmap to fix them.

Traits That Make You Thrive

• Operational Rigor: You believe that manual intervention is a bug and that automated, observable systems are the only way to scale.
• Patience & Mentorship: You enjoy seeing a partner team mature from reactive firefighting to proactive platform stewardship.
• Predictive Thinking: You have a "sixth sense" for platform instability and intervene through advisory before a crisis occurs.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.