Job Description
Are you ready to define the future of Artificial Intelligence?
Apex Systems is looking for a visionary Senior AI Architect to spearhead our 2026 Strategic Roadmap. In this pivotal role, you will be at the forefront of integrating Generative AI and Large Language Models into our core product suite. We are not just building software for today; we are architecting the intelligent systems that will define our industry for the decade ahead.
Why join us?
- Work on cutting-edge Generative AI projects.
- Shape the technical strategy for the 2026 roadmap.
- Competitive compensation and equity package.
- Flexible remote-first culture.
If you have a passion for building scalable machine learning infrastructure and want to leave a lasting legacy, we want to hear from you.
Responsibilities
- Lead the 2026 AI Strategy: Architect and oversee the implementation of the company's AI roadmap, focusing on Generative AI, NLP, and predictive analytics.
- Model Development & Optimization: Design, train, and fine-tune large-scale machine learning models to improve product performance and user experience.
- Infrastructure Scalability: Build robust MLOps pipelines and scalable cloud infrastructure (AWS/Azure) to support high-traffic AI applications.
- Cross-Functional Collaboration: Partner with product managers, engineers, and designers to translate business requirements into technical AI solutions.
- R&D Leadership: Stay ahead of industry trends in AI/ML and evaluate emerging technologies to drive innovation.
- Code Quality & Mentorship: Mentor junior data scientists and engineers, ensuring code quality, best practices, and technical excellence across the team.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent professional experience).
- Experience: 5+ years of professional experience in software engineering with a strong focus on AI/ML.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with vector databases (Pinecone, Milvus) and LLM frameworks (LangChain, HuggingFace).
- Cloud Expertise: Strong experience deploying models on cloud platforms like AWS, Google Cloud, or Azure.
- Problem Solving: Proven track record of solving complex technical challenges and optimizing model inference latency.
- Communication: Excellent verbal and written communication skills with the ability to explain complex AI concepts to non-technical stakeholders.