Head of Generative AI Architecture

Qualifications

• At least 10 years experience designing large-scale distributed systems
• At least 3 years designing and deploying AI/ML/NLP/Deep Learning solutions
• Expertise in LLM ecosystems, platforms like Azure OpenAI, Google Vertex, and AWS Bedrock
• Proficient in cloud platforms (AWS, Azure, GCP) with experience in deploying complex AI/ML workloads
• Implemented production applications using Retrieval-augmented generation concepts
• Expert programming skills in languages such as Python, Java, or C++
• Deep understanding of generative models, vector databases, and data processing techniques
• Proven expertise in CI/CD pipeline management within Generative AI space
• Comprehensive understanding of machine learning and NLP algorithms
• Strong knowledge of generative AI techniques, including deep generative models and reinforcement learning
• Master's or Ph.D. in computer science, AI, or related field required

Benefits

• Health coverage options along with other voluntary benefits
• Enterprise Udemy membership with access to personal and professional development courses
• 401K with company match up to 4% or employee pension plan
• Competitive pay and year-end bonus potential
• Flexible PTO
• Charitable donation matching, volunteer and voting PTO
• Team building activities promoting collaboration in fast-paced work environment

Responsibilities

• The Chief AI Innovation Officer will be responsible for developing and executing our AI strategy, driving innovation, and ensuring successful design and deployment of GenAI and AI solutions
• Develop and execute end-to-end AI strategy, including model selection, data pipelines, and infrastructure
• Lead development of next-gen AI platform, collaborating with engineers and developers
• Design cutting-edge AI solutions transforming the alternative investment industry
• Stay up-to-date with latest advancements and trends in AI technology
• Provide technical expertise and guidance to team, ensuring successful implementation and integration of AI solutions
• Collaborate with departments and stakeholders to identify and prioritize AI needs and requirements
• Conduct research and experiments to improve and enhance AI platform
• Leverage expertise and capabilities from external partners and vendors

Full Description

About AltaReturn

We are a pioneer in fintech industry, providing software solutions for Private Capital and Credit markets. Our goal is to help clients eliminate boundaries between systems, information, and people. We're looking for ambitious individuals to join our team and contribute to our mission of growth and innovation.

Job Description

The Chief AI Innovation Officer will be responsible fordeveloping and executing our AI strategy, driving innovation, and ensuring successful design and deployment of GenAI and AI solutions. This includes architecting and implementing our agentic AI engines, defining AI architecture, guiding development teams, and ensuring security and scalability of our AI systems.

Main Responsibilities

• Develop and execute end-to-end AI strategy, including model selection, data pipelines, and infrastructure

• Lead development of next-gen AI platform, collaborating with engineers and developers

• Design cutting-edge AI solutions transforming the alternative investment industry

• Stay up-to-date with latest advancements and trends in AI technology

• Provide technical expertise and guidance to team, ensuring successful implementation and integration of AI solutions

• Collaborate with departments and stakeholders to identify and prioritize AI needs and requirements

• Conduct research and experiments to improve and enhance AI platform

• Leverage expertise and capabilities from external partners and vendors

Requirements

• At least 10 years experience designing large-scale distributed systems

• At least 3 years designing and deploying AI/ML/NLP/Deep Learning solutions

• Expertise in LLM ecosystems, platforms like Azure OpenAI, Google Vertex, and AWS Bedrock

• Proficient in cloud platforms (AWS, Azure, GCP) with experience in deploying complex AI/ML workloads

• Implemented production applications using Retrieval-augmented generation concepts

• Expert programming skills in languages such as Python, Java, or C++

• Deep understanding of generative models, vector databases, and data processing techniques

• Proven expertise in CI/CD pipeline management within Generative AI space

• Comprehensive understanding of machine learning and NLP algorithms

• Strong knowledge of generative AI techniques, including deep generative models and reinforcement learning

• Master's or Ph.D. in computer science, AI, or related field required

What We Offer

• Health coverage options along with other voluntary benefits

• Enterprise Udemy membership with access to personal and professional development courses

• 401K with company match up to 4% or employee pension plan

• Competitive pay and year-end bonus potential

• Flexible PTO

• Charitable donation matching, volunteer and voting PTO

• Team building activities promoting collaboration in fast-paced work environment