Senior AI Solutions Engineer

Fiddler AIPalo Alto, CA
$164,000 - $215,000Hybrid

About The Position

At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes. Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

Requirements

  • Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience.
  • 2+ years of hands-on experience deploying, monitoring, or maintaining AI models in production environments.
  • Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences.
  • Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities.
  • Demonstrated collaboration across cross-functional teams—Product, Engineering, and Sales—to drive customer outcomes.
  • A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value.
  • Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility.

Nice To Haves

  • West Coast PST time zone
  • Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems.
  • History of direct support of government or governmental agencies/programs
  • Experience building GenAI Applications and Agentic workflow applications.
  • Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP).
  • Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real-time scoring via REST APIs).
  • Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent-based systems.
  • Familiarity with Federal accounts and sales motions

Responsibilities

  • Drive successful Proof-of-Value experiences. Partner closely with a Fiddler go-to-market teams to architect and implement AI solutions, aligning prospect goals with Fiddler’s capabilities, and ensuring evaluation cycles are delivered on time, with precision, and with clear success criteria met.
  • Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and AI engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler.
  • Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy.
  • Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their AI lifecycle.
  • Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools such as Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines.
  • Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and AI infrastructures to reduce time-to-value for new customers.
  • Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth.

Benefits

  • Competitive pay + equity
  • Premium health, dental & vision (100% premium coverage for employees)
  • Open PTO
  • 401(k) plan
  • Monthly fitness reimbursement
  • Paid parental leave
  • Palo Alto HQ Vibes
  • Annual Caltrain pass
  • Monthly in-office massages
  • Fastrak reimbursement
  • Lunch provided Mon–Thurs
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