Drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives.
Design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services.
Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals.
Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines.
Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems.
Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience.
Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization.
Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance.
Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability.
Champion CI/CD and MLOps practices for continuous delivery of AI features and models.
Participate in hiring and talent development for the GenAI team.
Perform other related duties and activities as required.

Requirements

Bachelor’s degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field
Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience
Expert of scalable, resilient, modern, cloud-native microservice development with Java, .NET, Python, or Typescript
Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture
Expert with CI/CD to deliver software enhancements to customers with full automation
Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompt engineering.
Experience in Cloud platforms and cloud-native architectures, including Serverless
Hands-on experience with transformer-based models, Hugging Face, LangChain, or similar frameworks.
Knowledge of data security, compliance, and responsible AI principles.
Experience with Terraform/Ansible or other IaC platforms
Experience with CQRS, event-driven architecture, and Kafka
Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products
Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaC#PythonTypescriptLLM integrationRAG pipelinestransformer-based modelsprompt engineeringCI/CDcloud-native microservice development

Soft Skills

leadershipmentoringcollaborationproblem-solvingcommunicationguidanceindependenceteachingstrategic thinkingadaptability