Solutions Architect

Job Title: AI Solution Architect

Location: Remote

Key Responsibilities:

•Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows

•Architecture Oversight: Lead system architecture decisions for scalable ML platforms, ensuring robust model deployment and operational excellence

•Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions

•Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution

•Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team

•Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learnin

•Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering

Required Skills:

Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)

Machine Learning: Extensive experience with statistical modeling, deep learning, NLP, computer vision, and generative AI technologies

Infrastructure & Deployment: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and ML pipeline orchestration

Data Engineering: Strong understanding of data architectures, feature engineering, and big data technologies (Spark, Hadoop, Kafka)

Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)

Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.

Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise innovative solutions.

Background in building and scaling ML platforms in high-growth technology companies