Key Responsibilities Strategic Leadership • Define the strategic direction for mainframe modernization programs in collaboration with client executives and internal stakeholders. • Develop comprehensive transformation roadmaps—covering rehosting, reengineering, refactoring, re-platforming, and hybrid approaches—that align with client business objectives and risk appetite.
Key Responsibilities Strategic Leadership • Define the strategic direction for mainframe modernization programs in collaboration with client executives and internal stakeholders. • Develop comprehensive transformation roadmaps—covering rehosting, reengineering, refactoring, re-platforming, and hybrid approaches—that align with client business objectives and risk appetite.
Depending on experience, this role may be filled at the Mainframe Specialist or Associate Manager level. Key Responsibilities Technical Leadership Serve as subject-matter expert across core mainframe technologies, providing hands-on guidance to project teams and clients. • Lead the design, development, and modernization of mainframe applications, enforcing best practices and architectural standards. • Evaluate legacy systems and propose actionable modernization strategies—covering rehosting, refactoring, re-platforming, and reengineering approaches.
Depending on experience, this role may be filled at the Mainframe Specialist or Associate Manager level. Key Responsibilities Technical Leadership Serve as subject-matter expert across core mainframe technologies, providing hands-on guidance to project teams and clients. • Lead the design, development, and modernization of mainframe applications, enforcing best practices and architectural standards. • Evaluate legacy systems and propose actionable modernization strategies—covering rehosting, refactoring, re-platforming, and reengineering approaches.
If Associate’s Degree, must have minimum 6 years work experience Bonus Points • Experience in pharma, biotech, or MedTech commercial or patient services contexts • Familiarity with Agentforce Voice or contact center AI architecture • Experience with customer data platforms beyond Salesforce (Segment, Adobe, mParticle) Salesforce Data Cloud Consultant, Agentforce Specialist, Platform App Builder, or Health Cloud Accreditation • Experience working across onshore/offshore distributed teams Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
If Associate’s Degree, must have minimum 6 years work experience Bonus Points • Experience in pharma, biotech, or MedTech commercial or patient services contexts • Familiarity with Agentforce Voice or contact center AI architecture • Experience with customer data platforms beyond Salesforce (Segment, Adobe, mParticle) Salesforce Data Cloud Consultant, Agentforce Specialist, Platform App Builder, or Health Cloud Accreditation • Experience working across onshore/offshore distributed teams Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Who You Are You are a Data Cloud and AI Tech Lead within Accenture’s Life Sciences Salesforce Business Group, operating at the layer between architecture and execution.
Who You Are You are a Data Cloud and AI Tech Lead within Accenture’s Life Sciences Salesforce Business Group, operating at the layer between architecture and execution.
What’s in it for you • Lead large-scale commerce implementations where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks) Shape Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets Own end-to-end delivery—from architecture and roadmap through build, rollout, and value realization • Work with global clients across B2C, B2B, and B2B2C commerce Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms What you will do in this role As an Agentic Senior Manager in Customer Technology – Commerce, you will own the architecture, delivery, and scaling of Agentic Commerce implementations, ensuring AI-driven capabilities are production-ready, secure, and tightly integrated with enterprise commerce ecosystems.
What’s in it for you • Lead large-scale commerce implementations where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks) Shape Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets Own end-to-end delivery—from architecture and roadmap through build, rollout, and value realization • Work with global clients across B2C, B2B, and B2B2C commerce Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms What you will do in this role As an Agentic Senior Manager in Customer Technology – Commerce, you will own the architecture, delivery, and scaling of Agentic Commerce implementations, ensuring AI-driven capabilities are production-ready, secure, and tightly integrated with enterprise commerce ecosystems.
Demonstrated leadership presence, credibility, and emotional intelligence. • Experience providing technical advisory or architectural guidance to senior client stakeholders, including executives and enterprise architects. • Experience serving as a technical escalation point on large, complex, or high‑risk ServiceNow programs.
Demonstrated leadership presence, credibility, and emotional intelligence. • Experience providing technical advisory or architectural guidance to senior client stakeholders, including executives and enterprise architects. • Experience serving as a technical escalation point on large, complex, or high‑risk ServiceNow programs.
• About Accenture Song – Customer Technology, Commerce Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence.
On-site
Chain, Llama
Index, CrewAI, Auto
Tech ecosystems. Proficiency with Agentic AI frameworks (Lang
• About Accenture Song – Customer Technology, Commerce Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence.
On-site
Chain, Llama
Index, CrewAI, Auto
Tech ecosystems. Proficiency with Agentic AI frameworks (Lang
What You Would Do in This Role As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks.
On-site
Tech, or customer technology ecosystems. Experience should include: Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions. Experience working with Agentic AI frameworks (Lang
What You Would Do in This Role As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks.
On-site
Tech, or customer technology ecosystems. Experience should include: Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions. Experience working with Agentic AI frameworks (Lang
If you can explain what RAG, semantic search, or multi-agent orchestration are to a layperson, you've got this. • Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms. • Minimum of 4 years of experience working in an agile team. • Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes) Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Bonus Points if you Have • Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns • Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination) • Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools • Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns) • Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI) • Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate) Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling • Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures • Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops • Experience with microservices architectures and composable system design • Experience with containerization and orchestration (Docker, Kubernetes, ECS) Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking) • Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale • Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns • Experience with distributed transactional data stores and their consistency models Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition) Understanding of information retrieval, semantic search, or embedding-based similarity Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
If you can explain what RAG, semantic search, or multi-agent orchestration are to a layperson, you've got this. • Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms. • Minimum of 4 years of experience working in an agile team. • Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes) Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Bonus Points if you Have • Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns • Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination) • Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools • Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns) • Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI) • Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate) Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling • Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures • Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops • Experience with microservices architectures and composable system design • Experience with containerization and orchestration (Docker, Kubernetes, ECS) Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking) • Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale • Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns • Experience with distributed transactional data stores and their consistency models Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition) Understanding of information retrieval, semantic search, or embedding-based similarity Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Most of our work fits what we call AI Transformation Decoupling • we design and build state-of-the-art agentic systems to wrap legacy cores, establish real-time feedback loops, add new AI-native functionality, and methodically transform existing systems into composable, event-driven architectures that support human-AI collaboration at scale.
Most of our work fits what we call AI Transformation Decoupling • we design and build state-of-the-art agentic systems to wrap legacy cores, establish real-time feedback loops, add new AI-native functionality, and methodically transform existing systems into composable, event-driven architectures that support human-AI collaboration at scale.
Serve as the primary subject matter expert on Mid-Market AWS Business Group (AABG) solutions during sales pursuits, participating in client-facing presentations, orals, solution workshops, and RFP/RFI responses to articulate Accenture's technical vision and differentiated capabilities. • Provide hands-on technical leadership during project delivery, guiding solution design, validating architectural decisions, and advising delivery teams on best practices for data platforms, analytics, machine learning, and generative AI implementations.
On-site
of cloud, enterprise networking, with depth in AWS specific services and technology
Must have hands-on AWS experience with at least 1 implementation and/or Migration into AWS (preferred in an Enterprise scale environment)
Minimum of 4 years proven scripting capability and the ability to develop AWS EAC (environments as code)
Serve as the primary subject matter expert on Mid-Market AWS Business Group (AABG) solutions during sales pursuits, participating in client-facing presentations, orals, solution workshops, and RFP/RFI responses to articulate Accenture's technical vision and differentiated capabilities. • Provide hands-on technical leadership during project delivery, guiding solution design, validating architectural decisions, and advising delivery teams on best practices for data platforms, analytics, machine learning, and generative AI implementations.
On-site
of cloud, enterprise networking, with depth in AWS specific services and technology
Must have hands-on AWS experience with at least 1 implementation and/or Migration into AWS (preferred in an Enterprise scale environment)
Minimum of 4 years proven scripting capability and the ability to develop AWS EAC (environments as code)
Learn more about our AABG and AWS at Accenture here • https://www.accenture.com/us-en/service-aws-cloud You Are The Delivery • Lead – AI & DATA is a pivotal role responsible for guiding the successful delivery of advanced AI and data solutions.
On-site
project management skills, and strategic vision to deliver innovative solutions that drive value.
Key Responsibilities Serve as the primary technical advisor for AWS AI & DATA engagements, providing expert guidance throughout the project lifecycle.
Support the sales process across key deals from initial opportunity (Stage 0) through to closure, contributing to solution content and delivery approach.
Learn more about our AABG and AWS at Accenture here • https://www.accenture.com/us-en/service-aws-cloud You Are The Delivery • Lead – AI & DATA is a pivotal role responsible for guiding the successful delivery of advanced AI and data solutions.
On-site
project management skills, and strategic vision to deliver innovative solutions that drive value.
Key Responsibilities Serve as the primary technical advisor for AWS AI & DATA engagements, providing expert guidance throughout the project lifecycle.
Support the sales process across key deals from initial opportunity (Stage 0) through to closure, contributing to solution content and delivery approach.
Technology Architecture Manager (Accenture LLP; Arlington, VA) • Accenture LLP has multiple openings for the position of Technology Architecture Manager in Arlington, VA, and the job duties are as follows: • Design, implement, and/or support world-class information technology architecture for Accenture or our clients, spanning simple IT projects to large-scale, enterprise-level change programs.
Technology Architecture Manager (Accenture LLP; Arlington, VA) • Accenture LLP has multiple openings for the position of Technology Architecture Manager in Arlington, VA, and the job duties are as follows: • Design, implement, and/or support world-class information technology architecture for Accenture or our clients, spanning simple IT projects to large-scale, enterprise-level change programs.
Crawfordsville, IN, US, 47933TodayFull-timeOn-site
Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.
Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.
As the Vice President of Human Resources, reporting to the SVP Head of Human Resources, you will serve as a trusted advisor to the President of Acuity Intelligent Spaces (AIS), a growing, multi-national technology business.
As the Vice President of Human Resources, reporting to the SVP Head of Human Resources, you will serve as a trusted advisor to the President of Acuity Intelligent Spaces (AIS), a growing, multi-national technology business.