AI Solutions Architect
Advocate
Software Engineering, IT, Data Science
San Francisco, CA, USA
Posted on Thursday, May 2, 2024
Advocate is a mission-driven technology company revolutionizing the way Americans access critical federal benefits. Our cutting-edge AI platform streamlines the application process, ensuring that every submission is complete, optimized, and tailored to the specific requirements of each federal program. Our innovative technology not only simplifies the process for applicants but also significantly reduces the administrative burden on federal agencies, enabling faster and more efficient eligibility determinations.
The Applied AI Team
Our Applied AI team is at the forefront of revolutionizing the government benefits application process through state-of-the-art AI technology. As a dynamic group of AI experts, we develop solutions that streamline the application process, enable faster decisions, and alleviate the burden on applicants and federal agencies.
The Applied AI team operates at the intersection of research and real-world challenges, constructing solutions that harness the latest advances in AI. Our team members are actively involved in the AI research community, continuously staying abreast of the newest developments in both commercial and open-source AI.
By combining cutting-edge AI techniques with a deep understanding of the government benefits domain, we build intelligent systems that simulate complex processes, improve decision-making, and ultimately make a positive impact on the lives of those navigating the intricacies of government benefits programs.
The Opportunity
Advocate is on the lookout for a forward-thinking AI Solutions Architect to lead the integration and optimization of AI technologies within our groundbreaking platform. This critical role is designed for a visionary technologist eager to impact the benefits application landscape significantly.
As our AI Solutions Architect, you will report to the head of our Applied AI department and will be at the helm of designing AI-driven solutions that address the complexities of government benefit applications. This role is designed for those who are passionate about leveraging leading edge technology to address complex issues. We seek individuals with a unique blend of technical prowess, strategic thinking, and a commitment to impactful innovation.
Join Us and Make a Difference
We believe in the power of technology to drive positive change and promote fairness and equality in the distribution of federal assistance. By joining Advocate, you will have the opportunity to be part of a mission-driven team that is making a tangible impact on society. Our work is centered around the belief that every American deserves access to the benefits they have earned through their contributions to our nation.
If you are passionate about leveraging cutting-edge technology to solve complex social challenges and are driven by the desire to make a meaningful difference in people's lives, Advocate is the perfect place for you. Join our talented and dedicated team as we work towards building a more equitable and inclusive society, one application at a time.
Requirements
- Educational Background: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field that emphasizes scientific thinking and rigor. Exceptional candidates with a Bachelor's degree and extensive relevant experience may also be considered. A strong educational foundation ensures a deep understanding of the underlying principles and methodologies in AI and machine learning.
- Professional Experience: Minimum of 5 years of professional experience in AI and machine learning, with a proven track record of designing and implementing AI solutions at scale. Hands-on experience in applying AI technologies to real-world problems is crucial for success in this role.
- Technical Expertise: Familiarity with common open AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and others. Proficiency in these frameworks allows for rapid prototyping and implementation of AI solutions.
- Advanced Prompt Engineering: The candidate should be an expert in prompt engineering, able to craft effective prompts that elicit the desired responses from large language models (LLMs). They should be an "LLM whisperer," capable of understanding the nuances and capabilities of modern LLMs and extracting the most value from them. This skill is critical for developing AI solutions that leverage the power of LLMs to generate human-like responses and perform complex tasks.
- Experience with advanced LLM orchestration techniques and agent-based AI systems: Understanding how to effectively combine and coordinate multiple AI models and agents is essential for building sophisticated AI solutions.
- Programming Skills: Proficiency in Python programming. Python is the primary language used in the AI and machine learning community, and a strong command of Python is necessary for implementing and integrating AI models and pipelines.
- Agile Development: Familiarity with agile development methodologies and experience working in a fast-paced, collaborative environment. The ability to adapt to changing requirements and collaborate effectively with cross-functional teams is crucial in this role.
- Problem-Solving Skills: Demonstrated ability to apply AI and machine learning techniques to solve complex, real-world problems. A solutions architect must be able to analyze problems, identify appropriate AI approaches, and design effective solutions that meet business requirements.
- Innovation and Vision: A technical visionary with a proven track record in the application and integration of AI technologies. The ideal candidate should have a forward-thinking mindset, staying up-to-date with the latest advancements in AI and identifying opportunities for innovation.
- Leadership and Collaboration: A collaborative leader who excels in bridging the gap between technical teams and business stakeholders, aligning efforts towards common goals. Strong communication and interpersonal skills are essential for effectively conveying technical concepts to non-technical audiences and fostering collaboration.
- Domain Knowledge: Experience in regulatory compliance and data security, particularly in healthcare or government services, is highly advantageous. Understanding the unique challenges and requirements of these domains helps ensure the development of compliant and secure AI solutions.
- Impact-Driven Mindset: Deeply committed to making a societal impact, driven by the opportunity to improve access to government benefits through technology. A passion for using AI for social good and a desire to make a meaningful difference in people's lives are key motivators for this role.