• Design and implement production-grade multi-agent systems using modern agent frameworks (e.g., Pydantic AI, Agent Harness, Tool-Calling, Code Execution) • Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks • Develop distributed services for agent execution with strong observability, monitoring, and failure handling • Establish evaluation frameworks for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness • Implement memory management, context handling, and agent state persistence strategies • Partner with product, design, and engineering teams to translate business requirements into robust agent architectures • Optimize systems for latency, cost efficiency, and reliability in production • Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers

Description Sprout Social is looking for a Senior Applied AI/ML Scientist to join its AI, Data, and Intelligence Business Unit. Why join Sprout Social’s Data Science and AI team? Sprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and engagement functionality, customer care solutions, influencer marketing, connected workflows, and business intelligence. We're actively working to intuitively weave AI throughout our products as well as applying them internally to drive our business’s growth trajectory. What you’ll do - Lead the design, development, and deployment of customer-centric features that leverage data science, machine learning (ML) and generative AI technologies. - Deliver tangible, quantifiable, and measurable impact on Sprout Social’s highest priority AI initiatives, directly benefitting our customers and driving key business outcomes. - Develop robust frameworks for evaluation and measurement of AI features to increase speed, improve quality, and provide demonstrable ROI of product enhancements. - Collaborate closely with product management, design, and software engineering partners to deliver high quality AI solutions quickly and confidently. - Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, customer needs, and product vision. What you’ll bring We’re looking for an experienced and highly technical AI/ML scientist who embraces challenges, practices a growth mindset, and is eager to collaborate with a variety of stakeholders to provide data-driven solutions to business leaders and to Sprout Social’s customers. If you excel at experimenting with and implementing AI/ML techniques, continuously improving capabilities, and driving innovation with a clear focus on customer value, we’d love to talk with you! The minimum qualifications for this role include: - A track record of leading customer-centric development of AI/ML solutions that resulted in quantifiable business impact. - 5+ years of applied experience in AI/ML and data science, working with technical and non-technical stakeholders to drive impactful solutions. - 5+ years of experience developing models in Python using ML frameworks (e.g. PyTorch, TensorFlow, XGBoost, LGBM, NumPy, pandas) and strong proficiency in SQL and RESTful APIs for querying, transforming, and analyzing large datasets to drive product vision. - Broad and deep expertise in analytical, statistical, and AI/ML methods, with a focus on shipping solutions that drive significant product improvement, resolve customer pain points, and demonstrably enhance user experiences. - Experience building with transformer architectures and leveraging embeddings. Preferred qualifications for this role include experience: - Rapidly prototyping with new, cutting-edge AI/ML technologies to explore their applicability and potential for business impact. - Collaborating with / influencing product management to define, refine, and prioritize data-driven product roadmaps based on technical feasibility and customer value. - Designing and executing A/B testing frameworks and other rigorous experimentation techniques to measure impact. - Developing and deploying deep learning models. - Developing and deploying NLP solutions. - Architecting and implementing production large language model driven features, including evaluating, fine-tuning, optimizing performance, and prompt-engineering to enhance customer journeys. - Building and deploying models on OpenSearch and ElasticSearch. - Java development experience. - Engineering model services, deployment technologies, and ML-Ops practices. - Creating APIs and services across platforms such as AWS, Azure, GCP, OpenAI, and Anthropic. - Enforcing AI/ML model security, bias mitigation, and ethical AI/ML frameworks. How you’ll grow Within 1 month, you’ll plant your roots, including: - Complete Sprout’s New Hire training program alongside other new Sprout team members. - Meet and learn from assigned onboarding resources. - Become familiar with our existing features, available data, and best practices. - Begin meeting with various stakeholders to understand existing problem spaces and customer needs. - Work with your manager to define the first project you’ll make an impact with. Within 3 months, you’ll start hitting your stride by: - Delivering your first AI/ML related feature(s) or process improvement(s). - Continue learning about Sprout’s products, customers, and business structure to suggest new features that will increase customer value delivery. Within 6 months, you’ll be making a clear impact through: - Demonstrating technical ownership of an AI/ML initiative. - Contributing to our longer-term roadmap of AI at Sprout. - Refining best practices and guide strategy for our AI/ML feature development process. Within 12 months, you’ll make this role your own by: - Continuing to develop impactful AI/ML solutions. - Identifying new opportunities for AI/ML capabilities. - Continuing to build relationships with business unit leaders, stakeholders, and executives. - Contributing to elevating the technical excellence of the team and AI/ML best practices at Sprout. - Expanding your skills by learning from the team and staying current with industry trends and state of the art research. - Surprise us! Use your unique ideas and abilities to change your team in beneficial ways that we haven’t even considered yet. Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager. Our Benefits Program We’re proud to regularly be recognized for our team, product, and culture. We invest in our team with a comprehensive, competitive benefits program: - Comprehensive Health & Wellness: Premium BCBSIL medical, dental (high/low plans), and vision (Eyemed) insurance for you and your eligible dependents. - Premium Mental Health Support: Full, free access to Modern Health for you and your dependents, including coaching, therapy sessions, and digital wellness resources. - Retirement Savings: 401(k) plan with a 50% company match on your first 6% of contributions (a 3% total match). - Financial Security: 100% employer-paid Life and Disability insurance for your peace of mind. - Flexible Paid Time Off: A flexible PTO policy, supplemented with additional company-wide Rest & Recharge days throughout the year. - Paid Parental Leave: Up to 16 weeks of paid leave for new parents to support you in expanding your family. - Annual Lifestyle Stipend: A $1,000 USD annual Lifestyle Spending Account to spend on your physical, mental, and financial well-being. - Work From Home Support: A one-time $550 USD stipend to set up your home office, plus a monthly $50 USD stipend for internet. - Giving Back: 16 hours of paid volunteer time annually, plus a $100 annual match for your charitable donations. - Additional Financial Perks: Access to pre-tax commuter benefits, subsidized child/eldercare (Care.com), discounted pet insurance (Figo), and no-cost personalized financial wellness support through Your Money Line. *This list is for informational purposes only. Benefit offerings are discretionary and subject to change and do not constitute a contract or guarantee of benefits. Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter. Individual base pay is based on various factors, including whether you’re located in Zone 1 or Zone 2, as well as relevant experience and skills. In the United States, we have two geographic pay zones. For this role, the expected base pay ranges for new hires are: - Zone 1 (New York, California, Washington): $176,000 - $242,000 USD annually - Zone 2 (All other US states): $160,000 - $220,000 USD annually The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed. Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package. Sprout Social is proud to be an Equal Opportunity Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Because Sprout Social is a federal contractor, we affirmatively recruit individuals with a disability and protected veterans. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report. If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation). For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster and (2) Sprout Social's Affirmative Action Statement. Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law. Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale—without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: - Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) - Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel - Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. - World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT - Grow at the Edge. We are driven by personal growth fueled by a beginner’s mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. - Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. - I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As we scale our AI platform, we are building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. We are seeking a Staff AI Engineer to architect, build, and operationalize these systems at scale. This is a hands-on, high-impact engineering role focused on shipping reliable, enterprise-ready agentic AI systems into production. PROJECTS - Advisor Copilot (Multi-Agent Systems) Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications — all within a monitored, auditable architecture. - Workflow Automation Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation — replacing fragmented tools with intelligent, autonomous systems. - AI Agent Platform & Infrastructure Architect a scalable multi-agent platform with orchestration engines, memory and state management, dynamic tool invocation, structured output validation, observability, fault tolerance, and automated evaluation — solving reliability, explainability, and regulatory challenges at scale. WHAT YOU’LL DO - Design and implement production-grade multi-agent systems using modern agent frameworks (e.g., Pydantic AI, Agent Harness, Tool-Calling, Code Execution) - Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks, - Develop distributed services for agent execution with strong observability, monitoring, and failure handling - Establish evaluation frameworks for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness - Implement memory management, context handling, and agent state persistence strategies - Partner with product, design, and engineering teams to translate business requirements into robust agent architectures - Optimize systems for latency, cost efficiency, and reliability in production - Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers WHAT YOU’LL BRING - 3+ years of experience building and shipping Generative AI and LLM applications into production, 6+ years of ML experience. - Demonstrated experience designing and deploying multi-agent systems of various architecture - Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory - Deep proficiency in Python and modern AI frameworks - Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments - Experience implementing monitoring, evaluation, and reliability safeguards for AI systems - Strong systems thinking — ability to design beyond single-model solutions toward coordinated, multi-component architectures - Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION RANGE $190,000 - $225,000 USD In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Please see more details on our privacy practices in our Privacy Notice here.

• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, retraining, and retirement. • Transition AI/ML models from prototypes into scalable, production-ready systems. • Build, deploy, and maintain CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability. • Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models. • Automate repetitive ML lifecycle tasks to improve efficiency, consistency, and reliability in retraining and deployment workflows. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, focusing on unstructured clinical data. • Develop scalable inference pipelines and APIs to deliver AI capabilities to customer-facing solutions. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Implement monitoring, alerting, and performance dashboards to ensure model quality, detect drift, and maintain operational SLAs. • Optimize deployed models for latency, throughput, reliability, and cost efficiency. • Participate in system design and architecture discussions, providing expertise in MLOps and AI deployment best practices. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.