Director, Applied AI & Agentic Platform Engineering Job at Citi (Irving)

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

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

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

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

Executive Director, Agentic AI

The Executive Director, Agentic AI will define and lead the enterprise strategy,...

Location

United States , Sacramento

Salary:

175100.00 - 334750.00 USD / Year

CVS Health

Expiration Date

May 30, 2026

Requirements

12+ years in software engineering, platforms, or AI/ML, with 5+ years in senior leadership roles
Hands-on experience delivering AI systems at enterprise scale (not just experimentation)
Deep understanding of: LLMs, SLMs, RAG, embeddings, vector databases
Agent frameworks and orchestration patterns
Distributed systems, APIs, event-driven architectures
Proven ability to operate in regulated, high-availability environments
Strong executive communication and stakeholder-management skills

Job Responsibility

Define the enterprise Agentic AI vision and roadmap, aligned to business outcomes (cost reduction, revenue growth, productivity, experience uplift)
Establish clear differentiation between LLM tools, copilots, workflows, and autonomous/multi-agent systems
Identify and prioritize high-value agentic use cases (e.g., customer support resolution, claims/prior auth automation, contract leakage reduction, operational orchestration, developer productivity)
Own the design and evolution of the Agentic AI Platform, including: Multi-agent frameworks (planner, executor, verifier, critic, retriever agents)
Tool/function calling and API orchestration
RAG, memory, state management, and context persistence
Human-in-the-loop / human-on-the-loop controls
Define standards for agent lifecycle management (design, testing, deployment, observability, rollback)
Partner with Digital Platform and Integration teams to ensure agents are API-first, event-driven, and scalable
Lead delivery of production-grade agentic solutions, not POCs

What we offer

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance

Fulltime

Director, Engineering – Applied AI

We’re not just building better tech. We’re rewriting how data moves and what the...

Location

United States

Salary:

322500.00 - 387000.00 USD / Year

Confluent

Expiration Date

Until further notice

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

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

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

New

Head of Applied AI & Agent Factory - Managing Director

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive leadership experience, including senior roles building and scaling delivery organizations - consulting partnerships, Forward Deployed Engineering / solutions engineering teams, or comparable in-business technology delivery functions inside complex firms.
Builder-operator profile — has personally stood up and scaled delivery organizations from a small core to hundreds of practitioners, ideally inside or alongside large, regulated businesses.
Deep current expertise in modern AI - agentic systems, LLM-based applications, AI evaluation and certification, and the practical realities of getting AI agents adopted in production enterprise environments.
Strong commercial and storytelling skills - credible peer to business COOs and CEOs
able to co-design process redesigns and to sell the change rather than impose it.
Bias to action, ruthlessly outcome-focused - relentless on real adoption, usage, and business impact rather than activity metrics
comfortable killing projects that aren't landing.
Cross-functional influencer - proven ability to operate in a matrixed environment across product, platform, controls, and business stakeholders without direct authority over all of them.
Strong financial acumen - fluent in business cases, ROI realization, and the commercial drivers of a complex global firm.
Risk & Compliance awareness - understands controls, model risk, and regulatory expectations as they apply to AI agents in global banking.

Job Responsibility

Operate the Agent Factory: an industrialized capability for the design, build, evaluation, and certification of enterprise AI agents at Citi scale.
Define and continuously evolve the firm's standards, patterns, and reference implementations for enterprise agents in close partnership with the Head of Core AI Platform (who provides the agentic runtime, guardrails, and evals) and the Head of Responsible AI (who owns approval and controls).
Own the official enterprise agent catalog - the curated, certified set of agents that Citi formally sanctions for production use across the firm - including lifecycle management, versioning, and decommissioning.
Build and lead a cadre of Applied AI engineers embedded directly into business lines, partnering with business COOs and process owners to design, deliver, and scale AI agents inside real workflows.
Co-design agent-led process redesigns with business COOs - moving beyond point automations to the redesign of end-to-end business processes around AI agents.
Operate a deliberate 'delivery-to-platform' feedback loop: ensure reusable assets, patterns, and components emerging from business-specific work are fed back into the Core AI Platform and Enterprise AI Solutions portfolio rather than re-built.
Partner with the Head of Enterprise AI Solutions to graduate high-leverage, repeatedly built business solutions into productized, horizontal capabilities.

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

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

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

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

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

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

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

Director, Applied AI Engineering

We are looking for a Director of Applied AI Engineering to build and lead the te...

Location

United States

Salary:

167703.00 - 268325.00 USD / Year

One Call

Expiration Date

Until further notice

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.

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.

Fulltime

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

We are seeking a highly accomplished Engineering Director with extensive technic...

Location

United States , Bellevue, WA

Salary:

271000.00 - 347000.00 USD / Year

Select Country

Director, Applied AI & Agentic Platform Engineering

Job Description

Job Responsibility

Requirements

What we offer

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