AI & Platform Software Engineer

Luxoft; Buffalo (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Luxoft is seeking seasoned Software Engineer III to advance the GenAI platform and developer experience across two closely partnered orga nizations. The role involves hands-on design, build, test, and operation of production capabilities with a focus on secure coding and SDLC automation.

You will work with Azure AI Foundry, APIM, and related services while collaborating with governance, security, and architecture teams to deliver reliable, scalable software in a regulated banking environment.

Qualifications

• Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.
• Hands-on experience with GenAI models and AI-assisted development workflows.
• Hands-on Azure experience relevant to the target track (APIM, Entra ID, Key Vault, Azure AI services).

Responsibilities

• Design, build, test, and operate production capabilities hands-on with documentation and evidence by default.
• Leverage GenAI capabilities in your engineering workflow to accelerate delivery, including SDLC automation opportunities.
• Work within SDLC gates, security standards, and separation-of-duties model; produce required artifacts.
• Partner across governance, architecture, cybersecurity, and application teams; communicate with technical and business audiences.
• Pair for capability transfer to ensure knowledge stays with engagements.
• Participate in support rotations for live workloads with incident triage and root-cause discipline.

Skills

GenAI models

Azure experience

CI/CD

Documentation

Communication

Production systems

Education

Bachelor’s degree

Associate’s degree

Tools

GitLab Duo

Azure AI Foundry

Job description

Project description

Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform & Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank’s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.

Responsibilities

• Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.


• Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities.


• Work within the bank’s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.


• Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.


• Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end.


• Participate in support rotations for live workloads with incident triage and root-cause discipline.

SKILLS

Must have

• SE III (61 IC): Associate’s + 7 years or Bachelor’s + 5 years systems analysis/application development experience (or combined 9 years).


• SE II (60 IC): Associate’s + 5 years or Bachelor’s + 3 years equivalent experience (or combined 7 years).


• Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.


• Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).


• Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.


• Experience delivering and operating production systems in a controlled-change environment.


• Strong communication, collaboration, documentation, and stakeholder engagement skills.

Nice to have

Demonstrated depth in one or more tracks above — candidates are routed by strongest track fit across both organizations. Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations. Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling. Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.