Engineering Leader - Applied AI Job at DevRev (Bangalore)

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

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

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

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

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
PhD in engineering, applied math, statistics, or related analytical field.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Solid grasp of deep learning: loss functions, optimization, regularization, training stability
Experience deploying ML models at scale (inference optimization, quantization, distillation)
Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.

Job Responsibility

Model Development & Training
Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
Implement and adapt techniques from research papers into working production systems
Design and run experiments to improve image quality, diversity, and controllability
Curate, clean, and manage large-scale image-text training datasets
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure

Fulltime

Lead Engineer - Applied AI

Join Barclays as a Lead Engineer - Applied AI role, where you will leverage your...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
Health and wellness
Gain access to wellness rooms, gyms and mental health support
A place where you can belong
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions

Fulltime

Member of Technical Staff, Applied AI Engineer

We’re hiring a Applied AI Engineer to join a fast‑moving, high‑ownership team bu...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.
PhD in engineering, applied math, statistics, or related analytical field.
4+ years shipping production-level code, models, or data analysis.
Deep experience building from zero-to-one.
Hands on work hillclimbing AI evaluations.

Job Responsibility

LLM Feature & Agent Development
Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Engineering Leader - Applied AI

Job Description

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