Technical Manager, AI Architect

OverviewHaptiq is a leader in delivering digital solutions and consulting services that drive value and transform businesses. We specialize in leveraging technology to improve efficiencies and offer comprehensive solutions tailored to meet the unique needs of our clients across various industries. As well as bringing next-generation technology to private capital markets through the Olympus suite of cloud-based solutions designed to empower private equity, and credit funds as well as the firms in which they invest.The OpportunityWe are seeking a highly skilled AI Architect to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), traditional AI/ML methodologies, and strong Python programming skills. You will collaborate with data scientists, engineers, and product teams to create scalable and innovative AI-powered applications.ResponsibilitiesDesign and implement AI/ML architectures, including LLM-based and traditional ML models.Develop and optimize AI solutions for scalability, efficiency, and performance.Evaluate and integrate emerging AI technologies, tools, and frameworks.Collaborate with data engineers to build robust data pipelines for model training and inference.Ensure AI systems align with business objectives and technical requirements.Drive best practices in AI governance and monitoring.Optimize AI models.Stay up-to-date with advancements in AI, LLMs, and ML algorithms.Provide technical leadership and mentorship to software development teams, guiding them on AI architecture and best practices.Evangelize AI capabilities across the organization and provide strategic guidance on AI adoption.Foster a culture of innovation and continuous learning within the AI/ML teams.Advocate for AI-driven solutions and communicate their value to stakeholders.RequirementsBachelors or Master's degree in Computer Science, Data Science, AI, or a related field.Proven experience designing and deploying AI/ML solutions in a production environment.Strong expertise in LLMs (e.g., GPT, BERT, LLAMA) and traditional ML techniques.Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.Knowledge of data engineering concepts, SQL, and NoSQL databases.Strong problem-solving skills and ability to communicate complex AI concepts clearly.Pluses:Experience with AI-driven applications such as chatbots, NLP, and computer vision.Familiarity with vector databases and retrieval-augmented generation (RAG).Understanding of AI security, privacy, and regulatory considerations.Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.Why Join Us?We value creative problem solvers who learn fast, work well in an open and diverse environment and enjoy pushing the bar for success ever higher.  We do work hard but we also choose to have fun while doing it. We offer:Flexible work arrangements (including hybrid mode)Great Paid Time Off (PTO) policyComprehensive benefits packageOpportunities for professional growth and development.A supportive, dynamic, and inclusive work environment.

Created: 2025-03-01