Partner with Business Analysts and business stakeholders to understand business challenges and surface AI opportunities.
Assess technical feasibility and implementation complexity for proposed AI use cases.
Identify suitable open AI platforms, models, and tools to address each business need (e.g., Dify, Copilot Studio, Azure OpenAI, Azure AI Services, Claude, or comparable technologies).
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Act as a bridge between technical knowledge and business leadership by researching emerging technologies, simplifying complex IT and AI concepts, and providing practical recommendations on how these technologies can be applied to improve productivity, decision-making, and business operations.
Research and stay updated on the latest AI, Generative AI, IT tools, digital technologies, and technology trends.
Identify AI and IT solutions that may be relevant to the organization.
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You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses.
LLM Benchmarking: Utilize advanced frameworks to measure performance in critical areas like hallucination rates, sentiment consistency, and context retention.
Automated Validation: Build and maintain automated pipelines that leverage "LLM-as-a-judge" patterns to evaluate model outputs at scale.
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You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Design, develop, and deploy solutions across the full stack – frontend interfaces, backend services, APIs, and cloud infrastructure – to solve real business problems
Write clean, well-tested, production-quality code across multiple languages: TypeScript (backend and frontend with React/Next.js), Go for services, and Python for AI and data workloads
Own problems end-to-end: from understanding the business need, through solution design, implementation across whatever stack layer is required (UI, API, infra, AI), to deployment and monitoring
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Accenture is seeking a skilled Test Automation Engineer with expertise in Test Execution and Management and Robot Framework to support the delivery of high-quality technology solutions. In this role, you will contribute to the planning, execution, and continuous improvement of testing activities across software development initiatives, ensuring applications meet business and technical requirements.
You will work collaboratively with cross-functional teams to deliver reliable, scalable, and high-performing solutions while driving quality throughout the software development lifecycle.
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