Intelligent Automation Lead Engineer Job at NTT DATA (Remote)

Intelligent Automation Lead Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who ...

Location

Mexico , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in UiPath development
Experience in multi-agent automation modeling, orchestration, and maintenance
Experience working in enterprise automation programs or Centers of Excellence (CoE)
Knowledge of intelligent document processing, AI/ML integrations, or attended/unattended automation models
Strong expertise in: UiPath Studio, Orchestrator, AI Center
Document Understanding
API integrations
Power Platform
Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin)
Experience integrating Generative AI / LLMs into enterprise workflows

Job Responsibility

Lead the Design, develop, and deploy end-to-end UiPath and Microsoft Power Automate solutions across insurance operations
Develop and maintain intelligent automation frameworks, including multi-agent models and orchestrated bot ecosystems
Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing
Collaborate with business stakeholders to understand current processes, identify automation opportunities, and perform feasibility assessments
Gather, analyze, and document business and functional requirements for automation initiatives
Translate business requirements into technical solution designs and implementation plans
Ensure automation solutions are scalable, secure, and aligned with organizational standards and best practices
Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for: Claims document summarization
Policy document interpretation
Risk assessment support

Intelligent Automation Lead Engineer

We are currently seeking a Intelligent Automation Lead Engineer to join our team...

Location

Mexico , Remote, MX-MEX

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in UiPath development
Experience in multi-agent automation modeling, orchestration, and maintenance
Experience working in enterprise automation programs or Centers of Excellence (CoE)
Knowledge of intelligent document processing, AI/ML integrations, or attended/unattended automation models
Strong expertise in: UiPath Studio, Orchestrator, AI Center
Document Understanding
API integrations
Power Platform
Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin)
Experience integrating Generative AI / LLMs into enterprise workflows

Job Responsibility

Lead the Design, develop, and deploy end-to-end UiPath and Microsoft Power Automate solutions across insurance operations
Develop and maintain intelligent automation frameworks, including multi-agent models and orchestrated bot ecosystems
Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing
Collaborate with business stakeholders to understand current processes, identify automation opportunities, and perform feasibility assessments
Gather, analyze, and document business and functional requirements for automation initiatives
Translate business requirements into technical solution designs and implementation plans
Ensure automation solutions are scalable, secure, and aligned with organizational standards and best practices
Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for: Claims document summarization, Policy document interpretation, Risk assessment support, Customer communication automation
Implement Intelligent Document Processing (IDP) for FNOL, claims forms, medical reports, KYC, policy applications, and invoices
Develop automation for core insurance systems (eg., Guidewire, Duck Creek, Majesco, etc.) is a plus

Lead QE Automation Engineer

The project focuses on architecting and scaling automation frameworks, particula...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

Experience of leading automation teams in enterprise or high-growth environments
7+ years of hands-on automation experience, including building Selenium frameworks from scratch
Strong expertise in Python and Selenium WebDriver
Significant experience with TestNG and Cucumber (BDD)
Strong experience automating Salesforce workflows
Strong CI/CD integration experience
Experience testing distributed and event-driven AWS architectures
Deep understanding of Agile/Scrum methodologies
Strong communication and stakeholder management skills
Availability for US timezone overlap until 2 PM CST

Job Responsibility

Define and execute an enterprise automation roadmap across 13 engineering teams
Design and build scalable Selenium automation frameworks from scratch
Implement Salesforce-focused automation strategies (Flows, UI components, integrations)
Integrate AI-driven automation (self-healing scripts, intelligent test generation, predictive analysis)
Embed automation into CI/CD pipelines for continuous validation
Lead, mentor, and coach QE engineers across teams
Implement mobile (Appium) and performance testing (JMeter) strategies
Establish coding standards, reusable components, and automation KPIs
Validate complex integrations across web, mobile, APIs, and AWS services
Report automation health metrics and quality risks to stakeholders

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Principal Software Engineer Lead

Commercial Engineering & AI (CEAI) partners closely with stakeholders to acceler...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
6+ years of professional software engineering experience with hands-on coding in languages such as C#, Java, Python, or React
Proficiency in AI-native development — working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor
Fundamentals in data structures, algorithms, object-oriented design, and scalable systems
Experience building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs)
Problem-solving and technical judgment skills, with the ability to design scoped solutions, debug complex issues, and improve service performance
Experience in driving AI (LLM/ML) based engineering solution
Experience with cloud platforms and distributed/service-oriented architecture
Familiarity with reliability, monitoring, and performance optimization practices
Collaboration and communication skills, with experience in design reviews

Job Responsibility

Understand end-to-end business processes, workflows, and data flows across the Microsoft sales ecosystem, and identify opportunities to simplify, automate, and agentify those experiences
Rapidly prototype and deliver POCs and iterate on solutions using an experimentation-driven engineering approach
Design, build, and ship scalable, production-quality features and intelligent services using modern engineering practices
Collaborate across teams to integrate systems, data, and signals into cohesive AI-powered workflows
Debug, troubleshoot, and improve system reliability and performance using telemetry and diagnostics
Build secure, compliant, and responsible AI solutions ready for production scale
Contribute to a culture of continuous learning, experimentation, and engineering excellence
Mentor and grow the energetic, diverse, and driven team with a good mix of senior, mid-level, and entry talent

Fulltime

Senior Test Automation Engineer

We are seeking a Senior Test Automation Engineer with 7– 8+ years of experience ...

Location

India , Chennai

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

Proficiency: Coding experience in Java or Python.
Tooling: Experience with WebDriver, Selenium, PlayWright and Postman.
Infrastructure: Mastery of Git, Jira, CI/CD build processes, and IDE-based debugging.
AI Integration: Ability to integrate AI/LLM tools into the testing lifecycle (e.g., self-healing scripts, automated test case generation).
Platform Knowledge: Working knowledge of at least one Appian subsystem or similar low-code platform architecture.
Experience: Minimum of 7–8 years of relevant experience in software test engineering or full stack quality engineering.
Education: B.S. or M.S. degree in Computer Science, Engineering, or a related technical field.

Job Responsibility

AI & Innovation: Envision and implement AI-augmented testing strategies, including autonomous test generation, test execution, and intelligent defect prediction to maximize ROI.
Framework Architecture: Design and maintain scalable, low-fragility test frameworks (System/API/UI) that isolate coupling to the System Under Test (SUT) and integrate seamlessly into CI/CD pipelines.
Orchestration & Context: Manage complex test environments and data orchestration, ensuring that automated suites provide high-fidelity feedback at every stage of the development lifecycle.
Full-Stack Debugging: Distinguish between test artifacts and deep-seated application errors
narrow down defects to specific modules, functions, or integrations with precision.
Technical Leadership: Lead code reviews for testability, contribute to TAC (Technical Architecture Council) documents, and mentor junior engineers on automation best practices.
Performance: Develop and execute performance test plans using tools like Locust.
Strategic Execution: Break down complex features into technical stories, identify edge cases and technical risks, and surface blockers with a clear sense of priority.

What we offer

Health coverage
Employee Assistance Program (EAP) with free mental health support
Life and disability insurance
Employee Stock Purchase Program (ESPP)
Retirement/pension plan
Wellness dollars
Tuition reimbursement
Family-forming benefits

Fulltime

AI Enablement Lead Engineer

At RediMinds, we build AI-enabled systems that help complex industries operate b...

Location

India , Gurgaon

Salary:

Not provided

RediMinds

Expiration Date

Until further notice

Requirements

5–6 years of experience in software engineering, full-stack development, product engineering, or related technical roles
Strong technical background across modern web technologies, APIs, databases, cloud systems, and AI-enabled product development
Experience working in a startup environment or building something entrepreneurial—either as a founder, early team member, lead engineer, or technical product owner
Ability to lead engineering execution while staying hands-on
Strong understanding of product thinking: user needs, business goals, delivery timelines, and technical trade-offs
Comfortable working in a fast-moving environment where requirements evolve and ownership matters
Excellent communication skills and the ability to work closely with both technical and non-technical teammates
Based in Gurgaon/Delhi NCR, or willing to relocate to Gurgaon for an on-site role

Job Responsibility

Lead AI-enabled product development across frontend, backend, automation, data, and AI/ML integration workflows
Guide a growing engineering team with clarity, urgency, and compassion
Work closely with product, AI/ML, QA, and business teams to translate ideas into reliable, scalable systems
Own technical execution from requirement understanding to architecture, development, testing, deployment, and iteration
Support AI enablement initiatives across automation, document processing, workflow intelligence, retrieval systems, LLM-based tools, and applied AI solutions
Create structure in ambiguity—turn fast-moving ideas into clear tasks, working systems, and measurable outcomes
Mentor junior engineers and AI Enablers, helping them grow through high standards and hands-on guidance
Bring startup energy to the team: move fast, solve problems, learn quickly, and make things happen

What we offer

Long-Term Growth: Join at a meaningful stage and grow into larger leadership responsibilities over time
Real Ownership: Work on products and systems that matter, not isolated tickets
Startup Energy with Serious Direction: Move fast, build deeply, and contribute to real business outcomes
Exceptional Team: Work with engineers, AI researchers, product leaders, clinicians, and strategists who care about building responsibly
AI at the Center: Be part of a company where AI enablement is not a side project—it is the core of what we do

Fulltime

AI & Automation Engineer

Location

Spain

Salary:

Not provided

Parser Limited

Expiration Date

Until further notice

Requirements

5+ years of experience in automation engineering, AI/ML integration, systems integration, or a closely related discipline
Demonstrated track record of replacing manual business processes with AI or automation solutions with measurable outcomes
Strong hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar) including prompt engineering, chaining, tool/function calling, and agent design
Proficiency in Python/Javascript for scripting, API consumption, data manipulation, and lightweight service development
Experience building multi-step, production workflows in Zapier, Make, or Power Automate, including error handling, branching logic, and webhooks
Solid Power BI skills: DAX, Power Query (M), data modeling, and report distribution
Strong working knowledge of REST APIs and JSON
ability to read API documentation and integrate any SaaS platform
Experience with Microsoft 365 or Google Workspace ecosystems
Analytical mindset with the ability to translate ambiguous business problems into concrete technical solutions

Job Responsibility

Lead discovery sessions with business stakeholders to audit manual, repetitive, or error-prone processes and build a prioritized automation roadmap
Design and deploy AI-powered workflows using LLMs (e.g., OpenAI, Anthropic, Azure OpenAI) to automate tasks such as document processing, classification, summarization, triage, and decision support
Build and maintain AI agents and multi-step pipelines that operate autonomously across business functions (HR, Finance, Operations, Customer Success, etc.)
Evaluate and adopt emerging AI tooling (e.g., agentic frameworks, RAG pipelines, fine-tuning approaches) where they deliver measurable ROI
Architect and manage automated workflows using platforms such as Zapier, Make (Integromat), and Power Automate, integrating APIs, webhooks, and SaaS platforms
Connect disparate systems (Monday.com, BambooHR, Google Workspace, Microsoft 365, CRM/ERP tools) using no-code/low-code and custom API integrations to ensure seamless, real-time data flow
Develop Python-based automation scripts and microservices where platform-native tooling reaches its limits
Build and maintain Power BI dashboards and automated reporting pipelines that surface actionable intelligence for both technical and non-technical stakeholders
Instrument AI and automation workflows with monitoring, logging, and KPI tracking so business impact is continuously measured and visible
Define standards, reusable patterns, and best practices for AI and automation development across the organization

What we offer

Competitive salary and comprehensive benefits package
A genuine mandate to transform how the business operates — not just maintain the status quo
Direct exposure to cutting-edge AI tools, models, and automation platforms
Collaborative, innovation-driven IT environment with strong cross-functional visibility
Budget and support for professional development, certifications, and conferences (AI/ML, cloud, automation)
Flexible work arrangements

Fulltime

Senior Test Automation Lead

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Extensive hands-on expertise in test automation and enterprise testing
Proficient in Playwright, Selenium, API automation, mobile testing
Proficient in Java, JavaScript, TypeScript, and/or Python
Experienced in CI/CD integration, particularly Azure DevOps
Knowledgeable in AI, GenAI, and intelligent automation concepts

Job Responsibility

Define and own enterprise automation strategy covering UI, API, mobile, integration, and end-to-end testing across Vodafone markets
Establish and govern automation standards, reusable frameworks, asset libraries, and best practices
Embed shift-left and shift-right testing within Agile and SAFe delivery models
Own governance for automation coverage, stability, execution cadence, maintenance, and technical debt management
Track and report automation KPIs including coverage, regression cycle time, defect leakage, efficiency gains, and FTE savings
Design, evolve, and provide oversight for enterprise-grade automation frameworks using Playwright, Selenium, and related tools
Drive API-first automation strategies for microservices and backend-heavy platforms
Integrate automation into CI/CD pipelines using Azure DevOps to enable gated quality at every stage
Champion AI and GenAI adoption, including self-healing automation, intelligent test optimisation, AI-driven defect analytics, and GenAI-based test generation
Evaluate, pilot, and scale AI agents and GenAI tools to advance autonomous quality engineering

What we offer

Opportunity to shape AI-driven Quality Engineering transformation at scale across global Vodafone markets
Exposure to cutting-edge automation, AI, and GenAI technologies
Collaboration with global teams and senior stakeholders across multiple countries
Career growth and development within the wider Vodafone Group
Culture that values innovation, inclusion, and continuous learning

Fulltime

Select Country

Intelligent Automation Lead Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

Intelligent Automation Lead Engineer

Intelligent Automation Lead Engineer

Intelligent Automation Lead Engineer

Lead QE Automation Engineer

Principal Software Engineer Lead

Senior Test Automation Engineer

AI Enablement Lead Engineer

AI & Automation Engineer

Senior Test Automation Lead

Our AI answers in your language