Associate Director, AI Solutions Architecture – Media

Company Description Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world’s most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry’s start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media’s powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we “Bring HEAT to Brands.” No other agency possesses the expertise that we do to address today’s most pressing challenges to drive business transformation through media. Job Description Associate Director, ML & AI is a senior, hands‑on engineering leader responsible for driving the design, development, and delivery of scalable ML & AI solutions. This role will own the technical direction of priority initiatives, establish engineering standards, and ensure high-quality execution across data engineering and AI/ML use cases. You’ll build GenAI‑first solutions (LLM‑powered assistants, insight synthesis, workflow automation) alongside traditional ML systems (forecasting, optimization, recommendations). This is a hands‑on, product‑focused role for someone who ships production systems not research prototypes. Associate Director will work closely with analytics and media teams to translate business requirements into robust technical solutions. This role is ideal for someone who enjoys building from scratch, setting direction, and unblocking teams , while remaining deeply involved in hands‑on development. Responsibilities Own the technical design and architecture for GenAI and ML solutions end to end Define standards for LLM usage, RAG patterns, evaluation, and production readiness Make architectural tradeoffs across scalability, cost, latency, and model quality Ensure GenAI solutions are secure, observable, and built for real-world use Lead development of GenAI applications, including LLM workflows, RAG pipelines, and inference services Build and optimize data pipelines and feature workflows to support GenAI and traditional ML use cases Develop production‑grade APIs and backend services using cloud‑native and distributed systems Troubleshoot complex issues across data quality, retrieval accuracy, model behavior, and system performance Drive priority AI initiatives from concept through production deployment Break down ambiguous problems into clear technical tasks, milestones, and MVPs Own delivery timelines, dependencies, and technical risk management Partner with stakeholders to balance speed, scope, and long‑term maintainability Serve as the primary technical point of contact for GenAI and ML initiatives Translate business workflows into scalable technical designs Support stakeholder and client discussions requiring deep technical context Ensure alignment between upstream data sources and downstream AI consumption Leverage and extend existing AWS and Databricks infrastructure for GenAI workloads Integrate vector databases, orchestration frameworks, and ML platforms into a cohesive stack Establish monitoring, logging, and alerting AI pipelines, cost, latency, and quality Promote secure, compliant, and cost‑aware engineering practices Mentor engineers and analysts through design reviews, code reviews, and technical guidance Support onboarding and skill development for GenAI and ML capabilities Foster a collaborative, high‑ownership engineering culture Identify opportunities to simplify, automate, and modernize AI systems Evaluate new GenAI tools, models, and platforms and recommend adoption when appropriate Contribute to documentation, knowledge sharing, and long‑term technical roadmap planning Qualifications 5+ years of experience in software engineering, data engineering, or platform development Proven ability to lead technical initiatives end‑to‑end Hands‑on experience shipping GenAI / LLM‑powered applications Strong understanding of RAG architectures , prompt engineering, and orchestration frameworks Experience with vector databases for semantic search Ability to build functional frontends (Streamlit, Gradio, React, etc.) Strong experience designing and building scalable data and analytics systems Advanced proficiency in SQL and strong experience with Python or similar languages Hands‑on experience with cloud platforms (AWS preferred) Experience with distributed data processing frameworks (e.g., Spark, Databricks, Hadoop) Experience with orchestration and ETL tools such as Airflow, AWS Glue, Qubole, or similar Strong understanding of data modeling, system integration, and performance optimization Proven track record of shipping tools users actually adopt Experience working with Databricks, Redshift, Presto, or similar technologies Familiarity with ML pipelines and collaboration with data science teams Knowledge of embeddings, evaluation, and fine‑tuning tradeoffs MLOps experience (deployment, monitoring, LLM evaluation) Experience in media, marketing, or digital analytics environments Prior experience acting as a tech lead or senior engineer mentoring others Character: The following qualities help drive success as member of the Spark Data and Analytics team: Builders who enjoy turning complex problems into simple, reliable solutions Calm and decisive under pressure Collaborative leaders who elevate the team around them Pragmatic technologists who value outcomes over novelty Curious, adaptable, and continuously learning Strong problem‑solving and system‑thinking skills Comfortable operating in ambiguity and driving clarity Ability to communicate technical concepts clearly to non‑technical stakeholders Bias toward action with strong ownership and accountability Ability to balance hands‑on execution with leadership responsibilities Experience working in agile teams and participating in sprint ceremonies Additional Information Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. Compensation Range: $110,580- $173,995 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third‑party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr