CrawlJobs Logo

Director, Applied AI Engineering

United States 167703.00 - 268325.00 USD / Year · Job Posted May 04, 2026
Apply Position
Job Link Share

Job Description

We are looking for a Director of Applied AI Engineering to build and lead the team that puts AI into production- not as an experiment, not as an analytics layer, but as core product capability that transforms how One Call operates. This is a product engineering role. You will build systems that do things: parse a faxed referral in real time and extract structured clinical data from it. Classify incoming documents and route them without human intervention. Power agentic workflows that replace manual coordination with intelligent automation. Your team's work ships to production, runs at scale, and directly impacts the operational experience for adjusters, providers, and patients. This is not data warehousing, BI, or analytics function. You are building the AI-powered capabilities and platform primitives that product teas across One Call consume to create intelligent, automated experiences. You own the engineering foundation- the extraction pipelines, the classification models, the LLM orchestration patterns, the data contracts and quality standards- that make AI systems reliable, trustworthy, and production-grade. This role reports to the VP of Strategic Engineering.

Job Responsibility

  • AI-powered document processing: Real-time extraction, classification, and enrichment pipelines that turn unstructured inputs (faxes, PDFs, clinical documents) into structured, actionable data- at production scale, with production reliability
  • LLM orchestration and operationalization: Production patterns for integrating large language models into business workflows- prompt management, output validation, guardrails, fallback strategies, and continuous evaluation
  • Intelligent automation capabilities: Agentic systems and AI-assisted decisioning that replace manual operational workflows with intelligent, auditable automation
  • AI Platform foundations: Shared data contracts, quality standards, and reusable services that ensure AI systems across One Call operate on consistent, trusted, well-governed information
  • Evaluation and observability: Metrics, monitoring, and feedback loops that make AI system behavior measurable, debuggable, and continuously improvable
  • The AI Platform strategy, technical direction, and execution- end to end
  • A growing engineering team (US and Mexico-based) of senior engineers building production AI systems
  • The standards and patterns that define how AI capabilities are built, tested, deployed, and monitored across the organization
  • Close partnership with Product, Architecture, and Application teams to ensure platform capabilities map to real business outcomes- not technology for its own sake.

Requirements

  • Bachelor's degree or the equivalent combination of education, training, or work experience
  • 7+ years of engineering leadership, including managing senior engineers or platforms teams
  • You've shipped AI to production
  • You think in products, not models
  • You've operationalized LLMs
  • You're comfortable in regulated environments
  • You're comfortable leading distributed teams
  • Ability to work in an environment that aligns with the company's diversity, equity, inclusion and belonging standards
  • Ability to work both independently and in a team environment
  • Demonstrate our core values of Think Big, Go Fast, Deliver Awe, Win Together and Care Deeply.

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Director, Applied AI Engineering

8 matching positions

Director, Engineering – Applied AI

We’re not just building better tech. We’re rewriting how data moves and what the...
Location
Location
United States
Salary
Salary:
322500.00 - 387000.00 USD / Year
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of engineering leadership experience, with a track record of building and shipping production-grade platform, developer tooling, or internal application systems
  • Strong technical depth in platform design and distributed systems, with the ability to set architectural direction and make principled decisions around shared infrastructure vs. point solutions
  • Experience building developer-facing platforms or internal applications that serve audiences of varying technical sophistication — from engineers to non-technical business users
  • Experience leading or operating within an AI-native engineering team that actively uses AI-assisted development practices and tooling to design, build, and ship software
  • Proven ability to partner cross-functionally and translate ambiguous business problems into clear platform requirements and engineering roadmaps
Job Responsibility
Job Responsibility
  • Own and deliver the Applied AI platform layer — including LLM gateway and model routing, agent orchestration framework, HITL infrastructure, agent lifecycle management, identity and access controls, runtime guardrails, audit logging, cost governance, and kill-switch infrastructure
  • Build and lead a high-performing Applied AI engineering team, establishing the engineering culture, standards, and delivery practices
  • Design and ship a portfolio of agent builder capabilities spanning no-code tooling through high-complexity programmatic frameworks, enabling both technical and non-technical teams to deploy agents on a shared, governed platform
  • Partner with ACE (AI Center of Enablement) functional leads and business stakeholders across Sales, Support, Product, Marketing, Finance, and Legal to translate workflow acceleration goals into platform requirements, ensuring infrastructure keeps pace with deployment demand
  • Establish and own the risk and reliability posture for all agent workloads — including runtime security enforcement, escalation thresholds, override monitoring, and compliance controls
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • The Best Teammates
  • Experience Ambassadors
  • Open and Honest Culture
  • Well-Being and Growth
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...
Location
Location
United States , San Francisco; New York
Salary
Salary:
285200.00 - 356500.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
  • 6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
  • Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
  • Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
  • Strong technical judgment across software engineering, system design, and applied ML fundamentals
  • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
  • Bachelor’s degree required
  • Master’s or PhD in Computer Science or a related field strongly preferred
Job Responsibility
Job Responsibility
  • Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
  • Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
  • Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
  • Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
  • Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
  • use these insights to influence internal research, product roadmaps, and customer strategy
  • Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
  • Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

We are seeking a highly accomplished Engineering Director with extensive technic...
Location
Location
United States , Bellevue, WA
Salary
Salary:
271000.00 - 347000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of experience growing and leading successful Engineering teams, with a proven ability to recruit, land, and grow both engineering technical managers and individual contributors
  • Extensive expertise (15+ years) in Machine Learning (ML), and Artificial Intelligence (AI), with a history of functioning as a technical leader or lead architect on production systems
  • Extensive experience building and deploying complex, large-scale, distributed AI/ML software systems from the ground up
  • Experience as a great collaborator, building models and processes for aligning work across large, multi-disciplinary teams (Engineering, Data Science, Product Management)
  • Hands-on technical experience in relevant ML/AI languages (e.g., Python, C++) and applying data-driven methodologies to define and manage large software projects
  • Demonstrated ability to drive technical strategy and execution in cutting-edge AI domains like multi-modal processing, model evaluation, or RL-based post-training
Job Responsibility
Job Responsibility
  • Lead and manage teams of AI applied researchers and engineers, providing extensive technical guidance, mentorship, and support to ensure the successful end-to-end delivery of high-quality, scalable AI/ML systems
  • Serve as the technical authority, driving the design, development, and deployment of complex AI solutions, including LLM post-training techniques (like Reinforcement Learning and Fine-Tuning), Multi-modal Content Understanding, and Agentic AI platforms
  • Define and lead the long-term technical strategy and roadmap for large, enterprise-wide AI efforts, ensuring alignment with the ASA mission to deliver cost-efficient and performant AI models
  • Foster an environment of innovation, rapid prototyping, and technical excellence, encouraging experimentation and continuous improvement in the pursuit of SoTA performance
  • Identify new, high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners for appropriate staffing and prioritization
  • Supervise the development of AI-centric platforms, such as the AI Evaluation and scalable inference and serving infrastructure for 1P, 2P, and 3P models
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

ML and LLM Architects - Applied AI Director

The Applied AI Director will lead efforts in fine-tuning open-source and proprie...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python + ML libraries (PyTorch, Hugging Face, Transformers)
  • Experience with LLM fine-tuning (LoRA, PEFT, RAG techniques)
  • Familiarity with LangChain, vector DBs (Pinecone, FAISS), or similar tools
  • Experience in deploying models via Docker/Kubernetes or cloud ML services
  • Strong grasp of prompt engineering and AI safety best practices
Job Responsibility
Job Responsibility
  • Fine-tune open-source or proprietary LLMs for domain-specific tasks
  • Build classification, scoring, summarization, and anomaly detection models
  • Deploy models using MLOps pipelines (model versioning, drift detection, retraining)
  • Integrate models into workflows with human-in-the-loop oversight
  • Optimize model performance across cloud-native environments
  • Fulltime
Read More
Arrow Right

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...
Location
Location
United States , Minneapolis
Salary
Salary:
322000.00 USD / Year
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
  • at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
  • 10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
  • 5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
  • (ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
  • (iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
  • and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
  • presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
  • at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph
Job Responsibility
Job Responsibility
  • Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
  • Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
  • Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
  • Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
  • Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
  • Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
  • Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
  • Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
  • Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
  • Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact
What we offer
What we offer
  • health insurance
  • vision insurance
  • dental insurance
  • life insurance
  • PTO
  • 401k
  • HSA
  • Fulltime
Read More
Arrow Right

Director of AI Engineering

Pfizer is building an AI-first R&D engine—one where AI is not a support function...
Location
Location
United States; Greece , Cambridge; La Jolla; Bothell; Groton; Thessaloniki Pylaia
Salary
Salary:
Not provided
pfizer.de Logo
Pfizer
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or Master’s in Computer Science, Machine Learning, Computational Biology, Software Engineering, AI, or a related discipline
  • 2–5 years of applied AI/ML experience
  • Experience in life sciences preferred, but not required (pharma, biotech, or health tech)
  • A working understanding of R&D workflows is preferred but not required, across target identification, lead optimization, translational science, clinical design, operations forecasting, or portfolio analytics
  • Comfort operating across disciplines—chemistry, biology, pharmacology, statistics—with the ability to ground models in biological and clinical reality
  • Demonstrated expertise in predictive modeling, generative AI, and ML system design
  • Strong programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow), plus experience scaling models in cloud and/or HPC environments
  • Proven ability to collaborate with other scientists, and could include laboratory bench researchers, clinicians, product teams, and business leaders
  • Clear scientific communication, intellectual curiosity, and a mission-driven mindset focused on improving patient outcomes
Job Responsibility
Job Responsibility
  • Build AI that directly shapes R&D decisions
  • Own foundational and predictive modeling end-to-end
  • Advance generative AI for drug design
  • Engineer elegant, reliable ML systems
  • Decode high-dimensional biology
  • Influence portfolio and strategy decisions
  • Stay at the frontier
  • Raise AI fluency across the organization
  • Represent the science externally
What we offer
What we offer
  • Relocation assistance may be available based on business needs and/or eligibility
  • Fulltime
Read More
Arrow Right

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...
Location
Location
Canada; United States
Salary
Salary:
300000.00 - 450000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
  • Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
  • Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
  • Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
  • Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
  • Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
  • Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
  • Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
  • Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
  • Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency
Job Responsibility
Job Responsibility
  • Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
  • Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
  • Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
  • Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
  • Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
  • Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
  • Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
  • Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
  • Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
  • Ensure robust observability, monitoring, and safety guardrails for all AI systems in production
What we offer
What we offer
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA
  • Fulltime
Read More
Arrow Right

Director of Solution Engineering - AI Partner Catalyst

The AI Partner Catalyst organization at Microsoft accelerates the success of the...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Information Technology, Business, or related field and 4+ years of technical pre-sales or technical consulting experience, or equivalent
  • Candidates must have authorization to work in Singapore
  • 6+ years of solution or services sales experience
  • 3+ years of people management experience
  • Experience working with high-growth partners, ISVs, or digital natives
  • Experience shaping commercial agreements in dynamic environments
Job Responsibility
Job Responsibility
  • Model Microsoft’s culture and values with clarity and energy
  • Coach Solution Engineers through technical design, customer engagement, and skill development across cloud, AI, data, applications, and engineering practices
  • Care for each team member by investing deeply in their growth, development, and long-term career paths
  • Recruit, develop, and retain top technical talent
  • Serve as the technical thought leader for the AI Partner Catalyst Solution Engineering team
  • Shape the engineering strategy for AI-first partners and help design scalable, secure, and efficient solutions on Azure
  • Guide architects and engineers in building cloud and AI solution patterns, modernization approaches, and technical roadmaps tailored to partner needs
  • Identify emerging AI, cloud, and open-source technologies and ensure the team can apply them to real scenarios
  • Coach Solution Engineers on how to engage deeply with founders, CTOs, engineering leaders, and technical decision-makers
  • Work closely with Partner Development Managers to accelerate joint solution design, competitive positioning, and technical proof points
  • Fulltime
Read More
Arrow Right