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AI Native Software Engineer
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AI Native Software Engineer
Accenture- Posted 14 hours ago
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Job Description
Project Role : AI Native Software Engineer
Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : ServiceNow
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
AI POWERED TECH TALENT
Key Responsibilities
Own end-to-end delivery of AI-driven ServiceNow solutions across multiple client engagements, ensuring measurable business outcomes.
Define and enforce architecture standards, governance, and compliance for AI features, including security and observability.
Shape client strategy: lead discovery workshops, define AI roadmaps, and align solutions with business priorities.
Drive innovation agenda by introducing advanced GenAI and agentic patterns into ServiceNow workflows.
Mentor and manage cross-functional teams, fostering a product mindset and engineering excellence.
Partner with leadership to scale AI adoption, manage risks, and ensure sustainable delivery models.
Qualifications & Skills
Advanced expertise in ServiceNow architecture (App Engine, Flow Designer, IntegrationHub, Scoped Apps).
Strong proficiency in Virtual Agent, AI Search optimization, and Now Assist configuration.
Deep understanding of LLM integration, prompt engineering, and evaluation frameworks.
Knowledge of agentic design patterns, orchestration frameworks, and RAG/vector search concepts.
Familiarity with Azure OpenAI, AWS/GCP AI services, and enterprise-grade observability for AI models.
Ability to implement Responsible AI practices, governance, and compliance standards.
Skilled in integration patterns (REST/SOAP), MID Server, and secure authentication (OAuth, SAML).
Managerial & Leadership Skills
Proven ability to lead and manage delivery teams in agile environments.
Strong stakeholder management and client-facing communication skills.
Capability to drive innovation, influence decision-making, and manage change.
Strategic thinking with a product mindset.
Excellent communication and negotiation skills.
Ability to inspire and coach teams toward high performance.
Adaptability and resilience in complex client environments.
Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : ServiceNow
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
AI POWERED TECH TALENT
Key Responsibilities
Own end-to-end delivery of AI-driven ServiceNow solutions across multiple client engagements, ensuring measurable business outcomes.
Define and enforce architecture standards, governance, and compliance for AI features, including security and observability.
Shape client strategy: lead discovery workshops, define AI roadmaps, and align solutions with business priorities.
Drive innovation agenda by introducing advanced GenAI and agentic patterns into ServiceNow workflows.
Mentor and manage cross-functional teams, fostering a product mindset and engineering excellence.
Partner with leadership to scale AI adoption, manage risks, and ensure sustainable delivery models.
Qualifications & Skills
Advanced expertise in ServiceNow architecture (App Engine, Flow Designer, IntegrationHub, Scoped Apps).
Strong proficiency in Virtual Agent, AI Search optimization, and Now Assist configuration.
Deep understanding of LLM integration, prompt engineering, and evaluation frameworks.
Knowledge of agentic design patterns, orchestration frameworks, and RAG/vector search concepts.
Familiarity with Azure OpenAI, AWS/GCP AI services, and enterprise-grade observability for AI models.
Ability to implement Responsible AI practices, governance, and compliance standards.
Skilled in integration patterns (REST/SOAP), MID Server, and secure authentication (OAuth, SAML).
Managerial & Leadership Skills
Proven ability to lead and manage delivery teams in agile environments.
Strong stakeholder management and client-facing communication skills.
Capability to drive innovation, influence decision-making, and manage change.
Strategic thinking with a product mindset.
Excellent communication and negotiation skills.
Ability to inspire and coach teams toward high performance.
Adaptability and resilience in complex client environments.
More Info
Key Skills
agentic design patterns
MID Server
LLM integration
IntegrationHub
Azure OpenAI
Responsible AI practices
evaluation frameworks
Scoped Apps
integration patterns
RAG vector search concepts
orchestration frameworks
enterprise-grade observability for AI models
Flow Designer
Virtual Agent
prompt engineering
Now Assist configuration
AI Search optimization
GCP AI services
About Company
