We are seeking aSenior AISoftwareEngineerto design, build, test, deploy, and support AI-enabled capabilities that deliver practical business value. This role is focused on implementation: turning refined requirements into reliable, secure, and maintainable software solutions that integrate AI technologies into existing products, workflows, and enterprise systems.
TheSenior AI Engineerworks closely with business partners, business and enterprise analysts, product owners, engineering teams, and platform partners to understand problems, clarify requirements,validateassumptions, and deliver AI-powered features. The role also helpsidentifyopportunities to simplify or improve businessprocessesso AI solutions are adopted effectively and produce measurable outcomes.
Whatyou’llbe doing(Job duties and responsibilities)
Design, develop, and deploy AI platform services including model lifecycle management, orchestration, and inference.
Build and enhance capabilitiesleveraging, Microsoft Copilot Studio, AIFoundry, Agent Force,IBM Orchestrate, and Claude (Anthropic)
Implement and scale GenAI and LLM-based solutionsacross ETG use cases.
Establish and maintainMLOpsandGenAIOpspractices (CI/CD, monitoring, evaluation, governance).
Contribute toarchitecture decisions for cloud-native, distributed AI systems.
Participate directly in coding, design reviews, andtroubleshooting ofcomplex platform issues.
Foster a strong engineering culture focused on accountability, innovation, and collaboration.
Partner with product managers, data scientists, and business stakeholders to translate business needs into scalable platform solutions.
Ensure the AI platform supports a wide range of internal customers and use cases.
Define and execute the ETG AI Platform roadmap, balancing innovation with stability.
Communicate platform strategy, technical trade-offs, and progress to leadership.
Shape the long-term vision for ETG’s AI platform and ecosystem.
Evaluate emerging AI tools and frameworks for enterprise adoption.
ChampionresponsibleAI practices including governance, security, and compliance.
Drive adoption of reusable AI capabilities and standardized patterns across teams.
Whatwe'llwant you to have: (Jobrequirements and preferences)
5+ years of experience in software engineering, application development, or related technical delivery roles.
Experience implementing production software in an Agile or product-oriented environment.
Demonstrated experience delivering AI-enabled, data-driven, automation, integration, or workflow solutions.
Hands-on experience with modern programming languages, APIs, cloud services, CI/CD practices, automated testing, and production support.
Working knowledge of AI technologies such as generative AI, ML services, prompt orchestration, retrieval patterns, agents, embeddings, or model integration.
Ability to understandimplementationtrade-offs and build pragmatic, supportable solutions within established architectural and enterprise guardrails.
Ability to communicate technical concepts clearly with business partners, analysts, product owners, engineers, and support teams.
Comfortableaskingclarifying questions, challenging assumptions constructively, and translating business needs into actionable implementation details.
Skilled atdemonstratingdelivered functionality, incorporating feedback, and helping stakeholders understand how AI-enabled features affect business processes.
Proficient in C# .NET.
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