Senior Staff AI Engineer

Salary Range: 155200 to 232800 (Currency: USD) (Pay period: per-year-salary)

Responsibilities and Duties:

• Lead transformative AI initiatives that directly address customer pain points, improve access to social care, and instill an AI-first mindset across the organization.
• Partner with internal and external stakeholders to identify opportunities for scalable AI adoption.
• Act as a force multiplier by building production-ready AI/ML solutions that deliver measurable value to our users, and then mentoring teams across the company to independently explore and implement AI solutions.
• Define and build scalable AI/ML infrastructure and tools that enable rapid experimentation, streamline development, and reduce barriers to company-wide AI innovation.
• Establish and enforce responsible AI guidelines ensuring fairness, transparency, privacy, security, and explainability in everything we deploy.
• Collaborate with external vendors and research partners to evaluate tools, models, and technologies that meet evolving business needs.
• Support go-to-market efforts by working with analytics, and sales teams to communicate the impact and ROI of AI-powered features.
• Translate emerging AI trends into actionable strategy, architectural guidance, and internal enablement to keep findhelp at the forefront of innovation in social care technology.

Qualifications:

• Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field.
• 8+ years of experience building production-ready AI/ML solutions optimized for performance, scalability, and responsible AI principles.
• Hands-on experience with large language models (LLMs), including open-source and commercial offerings, and advanced prompt engineering. 
• Expertise in model optimization techniques such as retrieval-augmented generation (RAG), fine-tuning, reinforcement learning, and pre-training. 
• Familiarity with agentic AI patterns, multi-agent systems (including control patterns), and orchestration frameworks (e.g., LangChain, LangGraph) is a strong plus.
• Strong background in NLP, supervised learning, and deep learning, with a record of deploying impactful AI/ML solutions at scale.
• Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Huggingface. 
• Experience deploying AI/ML systems on cloud platforms, ideally GCP, with a strong understanding of performance, scalability, reliability, and maintainability trade-offs.
• Deep understanding of modern software architecture, engineering best practices, and safeguards needed for scalable and secure AI systems.
• Working knowledge of modern web development technologies to effectively collaborate with engineering teams and deploy AI solutions in production environments.
• Familiarity with regulated domains such as healthcare or social care is a plus.
• Demonstrated passion for responsible AI, including principles of fairness, transparency, privacy, ethical use, and explainability.
• Exceptional communication and collaboration skills, with the ability to align cross-functional teams and drive company-wide impact.
• Experience building from the ground up in fast-paced, high-growth environments, laying foundations, setting best practices, and scaling both people and technology.
• Committed to continuous learning, with the ability to stay current on emerging AI technologies and assess new tools, vendors, and architectures as business needs evolve.