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Build and operate production-grade enterprise AI agents across their full lifecycle, including architecture, orchestration, retrieval, evaluation, testing, observability, security, governance, and enterprise integrations. The role requires shipping multi-step LLM workflows, implementing RAG and MCP solutions, integrating APIs and workflow engines, establishing quality and reliability metrics, and mentoring engineers. Candidates need strong Python or TypeScript expertise, production LLM experience, and familiarity with agent orchestration, security, evaluation, and cloud deployment.

Designs and optimizes CI/CD pipelines across on-premise and cloud environments; deploys and manages containerized systems using Docker and Kubernetes; administers cloud platforms, Linux systems, monitoring tools, and infrastructure-as-code with Terraform and Ansible. Automates processes with Bash and Python, applies cybersecurity best practices, and collaborates with development teams throughout the software development lifecycle.

Leads manual and automated software testing across UI, system, integration, and API layers. Responsibilities include designing test plans and cases, prioritizing execution, managing defects, performing root-cause analysis, reporting results, and improving testing processes. The role also develops unit tests, test-support features, API documentation, and minor fixes; tests AI and agentic applications; supports Agile Scrum teams; and uses CI/CD, automation, database, and performance-testing tools.

Leads SDET teams and owns testing strategy, quality roadmaps, automation, manual testing, test planning, execution, reporting, and defect management. Designs and reviews test cases, writes automated API and business-layer tests, improves code testability, supports performance and integration testing, and participates in code reviews. Collaborates with Scrum teams, project managers, engineers, and stakeholders to establish quality benchmarks and KPIs. Also tests AI and agentic solutions using rules, guardrails, and modern CI/CD practices.

Leads SDET teams and oversees software quality strategy across automation and manual testing. Designs test plans, cases, scripts, and execution priorities; manages defects, performance testing, reporting, and quality KPIs. Develops API and business-layer tests, improves code testability, participates in code reviews, and supports AI and agentic solution testing. Collaborates with engineers, project managers, and stakeholders within Agile Scrum teams while guiding testing methodologies and roadmap execution.

The Lead Software Engineer will develop and maintain front-end applications using Angular and JavaScript, ensuring high quality and performance while collaborating with back-end developers and mentoring junior engineers.

Develop technical marketing for AI and agentic solutions by translating engineering specifications into buyer-friendly content. Create technical blogs, case studies, architecture diagrams, demos, comparison materials, FAQs, battlecards, and sales enablement resources. Support technical campaigns, webinars, sales calls, and pre-sales discussions. Research enterprise AI use cases, competitors, and industry trends while collecting customer feedback and analyzing content engagement and business outcomes.

Designs and implements end-to-end data and AI solutions, including data warehouses, lakes, lakehouses, pipelines, semantic layers, streaming systems, and agentic applications. Engages clients to gather requirements, create technical proposals, select architectures, optimize performance and costs, and support production systems. Leads hands-on engineering delivery, data governance, quality, orchestration, and cloud implementations while mentoring engineers and advising teams on DataOps, MLOps, and modern analytical architectures.

Engage U.S. prospects through email, LinkedIn, phone, events, and follow-ups; research accounts, conduct discovery, qualify leads, and convert qualified prospects into sales opportunities. Schedule meetings for sales and technical stakeholders, maintain accurate CRM records, collaborate with Marketing on lead quality and messaging, and represent Integrant at client meetings and industry events. Travel approximately five to six times annually.

Engage and qualify U.S. business and technology prospects through email, LinkedIn, phone, events, and follow-ups. Research accounts, conduct discovery conversations, explain technology consulting services, qualify leads, schedule meetings, maintain accurate CRM records, and collaborate with marketing on lead quality and messaging. Represent Integrant at customer meetings and industry events, with approximately five to six trips annually.