AI Native Software Engineering Consultant at Accenture

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Finance, Healthcare, RetailIndustries

Requirements

Bachelor's degree or college diploma in Computer Science Engineering or related discipline
Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
Minimum of 1 year designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows)
Minimum of 2 years experience with AI platforms (OpenAI, Claude, Vertex AI, plus open-source models), including building abstraction layers to manage multi-provider pipelines
Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability
Minimum of 5 years experience deploying to production (CI/CD, infrastructure as code like Terraform/Helm, monitoring, and debugging)
Minimum of 5 years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity

Responsibilities

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement
Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems
Domain-Specific Workflows: Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail) addressing domain-specific processes via intelligent automation
Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption
Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness
Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

Skills

AI Agents

Retrieval

Orchestration

Kubernetes

Docker

Microservices

Serverless

CI/CD

Observability

Anthropic

OpenAI

Cloud-Native

Agentic Workflows

Prototyping

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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