Solovis Logo

Solovis

Manager of AI Engineering

Posted 9 Hours Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead and deliver agentic AI initiatives across engineering, defining KPI frameworks, driving agentic workflow adoption, modernizing brownfield systems, planning capacity and budget, aligning stakeholders, and managing performance for AI proficiency.
The summary above was generated by AI
 
Manager of AI Engineering

Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today’s complex global markets with clarity and confidence. Backed by Insight Partners, were building the next chapter of growth by investing in people and product to raise the bar on quality and client outcomes. Our team is driven by a culture of disciplined execution, humility, and curiosity where AI is at the core of how we operate, innovate, and serve clients. At Solovis, you'll join a tech-forward, growth-minded team that believes in learning fast, thinking big, and delivering meaningful impact for asset owners worldwide.

We are looking for an engineering manager who has led agentic AI teams and knows what AI-native delivery requires in a lean, high-accountability environment. This role owns the delivery engine for a combined engineering org going through integration, modernization, and a full shift to agentic development patterns.

Key Responsibilities

  • KPI framework design and ownership: velocity, escaped defect rates, ramp time, cost per story point, and regression coverage
  • AI proficiency standards: set the 90-day expectation across the org and own performance management for non-progressors
  • Agentic workflow adoption across the team, not just tooling familiarity
  • Brownfield modernization: finalize scope and lead the first AI-augmented initiative using agentic development patterns
  • Capacity planning: assess existing delivery partners, build new channels, and produce the model for next year's budget
  • Stakeholder alignment: support roadmap commitments, surface delivery risks early, and manage expectations across product and business partners
 
Qualifications
  • Hands-on experience managing agentic AI development teams
  • Working understanding of agentic systems: how they are scoped, how they fail, how they are tested, and what they require from the engineers building them
  • 5 or more years of software engineering experience, including 2 or more years managing individual contributors. Strong senior engineers making a first move into management are encouraged to apply
  • Track record in PE-backed, lean B2B software companies ($75M to $300M revenue)
  • Hands-on acquisition integration experience at pace, with ownership not just involvement
  • Financial acumen. You build your own analyses and can defend story point cost models to engineering leadership and finance stakeholders
  • You set high standards, hold others to them, make decisions with available information, and do not wait for consensus
 
 
 

Similar Jobs

7 Days Ago
Remote or Hybrid
2 Locations
212K-244K Annually
Senior level
212K-244K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.
Top Skills: AzureAzure Bot Framework SdkAzure Cognitive ServicesCloud-Native ServicesComposerDevOpsDirect LineEnterprise Integration PatternsLuisMicrosoft TeamsOrchestratorWeb Chat
11 Days Ago
In-Office or Remote
149K-255K Annually
Senior level
149K-255K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead multiple AI engineering teams to build and scale enterprise-grade AI, Generative AI, and Agentic AI solutions for claims automation and intelligent workflows. Drive platform strategy, cloud-based deployments, responsible AI governance, model lifecycle management, and cross-functional delivery. Mentor engineers, ensure operational excellence, integrate AI into cloud modernization, and align initiatives with enterprise AI strategy and business outcomes.
Top Skills: Agentic AiAi OrchestrationAws BedrockAws EcsAws EksAws LambdaAws SagemakerGenerative AiLlmsNlpOpensearchPythonRagS3
13 Days Ago
Remote
Michigan, USA
124K-276K Annually
Senior level
124K-276K Annually
Senior level
Fintech • Financial Services
Lead and grow an engineering team building agentic AI applications. Stay hands-on writing and reviewing code, define platform architecture and technical strategy, ensure AI evaluation/observability/guardrails, hire and coach engineers, partner with product and stakeholders, and shape AI-native engineering practices and delivery for a greenfield product.
Top Skills: AWSAzureC#GCPJavaJavaScriptPythonTypescript

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account