CrawlJobs Logo
Dialpad Logo Dialpad · IT - Software Development

Engineering Manager, AI Transformation

India, Bengaluru · Job Posted April 25, 2026
Apply Position
Job Link Share

Job Description

As the Engineering Manager of the AI Transformation team, you will lead a team of 8-10 full-stack engineers. Your primary mission will be to partner with business units across Dialpad to design, build, and deploy AI tools that fundamentally transform and streamline our internal operations and processes. This position reports to our VP of Engineering and will be based in our Bangalore office on a hybrid schedule.

Job Responsibility

  • Lead a team of 8-10 full-stack engineers
  • Partner with business units across Dialpad to design, build, and deploy AI tools that transform internal operations and processes
  • Support team performance and career growth through one-on-ones, performance reviews, coaching, and mentoring
  • Work with leadership and senior engineers to define a 1 to 3-year roadmap and vision
  • Evaluate technical design and architecture documents
  • Work with geographically distributed peers
  • Own large projects end-to-end
  • Drive effective engineering processes and policies
  • Scale the team by recruiting candidates
  • Get hands-on when necessary and assist with writing code and conducting architectural reviews
  • Oversee the entire lifecycle of internal AI tools

Requirements

  • 2+ years of experience leading a high-performing team of engineers, including managing and shipping cross-functional or multi-team projects
  • 10+ years of professional experience as an engineer or engineering leader
  • Experience with the development of performant, scalable customer-facing applications
  • Hiring & interviewing skills
  • Onboarding & mentorship experience

What we offer

  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program
  • Inclusive offices
  • Exceptional culture
Dialpad - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Engineering Manager, AI Transformation

8 matching positions

Gen AI Engineering and Scaled AI Transformation

Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
  • 3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
  • Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
  • Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
  • Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
  • Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred
Job Responsibility
Job Responsibility
  • Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
  • Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
  • Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
  • Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
  • Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
  • Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
  • Sets reusable reference patterns and accelerators for GenAI adoption across application teams
  • Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
  • Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
  • Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models
  • Fulltime
Read More
Arrow Right

Ai Transformation Manager - Finance

We are looking for a proactive AI Transformation Manager - Finance to join our F...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record (5+ years) as a Technical Program/Product Manager, Transformation Manager or Data Analytics/Science, with knowledge of LLMs (e.g., their probabilistic nature) and agentic architectures
  • Systems Thinker
  • Bias for Action
  • Collaborator
  • Adaptive
Job Responsibility
Job Responsibility
  • Strengthen the Context Foundation: optimize and build context foundation of documentation and system integrations (SOPs, Skills, MCPs) required to give AI agents accurate context
  • Strengthen on the Data Foundation: partner with engineering team to evolve data infrastructure (Finance/Commercial Data Core) to be trusted source of truth for AI agents
  • Establish AI Governance & Security: partner with Security, Privacy, and GenAI teams to design governance strategy with access controls
  • Define Evaluation Frameworks: build production-ready evals to measure AI accuracy and reliability
  • Scale Agentic Systems: transition successful AI experiments into stable systems that execute complex Finance workflows, focusing on toil reduction and end-to-end automation
  • Fulltime
Read More
Arrow Right

AI Engineering Manager

AI Engineering Manager – Investment Management. Orbis are proudly working with a...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers)
  • Excellent understanding of the Microsoft ecosystem including Azure, AI services, and the evolving roadmap shaping Microsoft’s cloud and AI solutions
  • Excellent proven experience working directly with cross-functional business stakeholders to understand challenges and translate into technical requirements
  • Strong experience of managing and/or leading teams of Software and Data Engineers
Job Responsibility
Job Responsibility
  • Leading or contributing to the design, build and delivery of AI-driven solutions across the firm, from prototype to production
  • Partnering with business stakeholders to refine opaque problems, identify AI/automation opportunities and shape technical requirements
  • Working with large volumes of unstructured “dark data” to extract insights, build semantic models and support new AI use cases
  • Driving or supporting modern engineering practices across Azure, Python, and the firm’s emerging AI ecosystem
  • Fulltime
Read More
Arrow Right
New

Workday Integrations & AI Systems Engineering Manager - HRIS

As a Workday Integrations & AI Systems Engineering Manager - HRIS at General Mot...
Location
Location
United States , Austin; Sunnyvale; Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience
  • Experience leading technical teams in systems engineering, platform engineering, enterprise applications, infrastructure engineering, or HR technology environments
  • Strong experience working within Workday
  • Experience setting technical direction, driving delivery, and developing engineering talent
  • Strong experience designing and implementing solutions for complex enterprise platforms
  • Experience leading modernization efforts involving automation, cloud enablement, and legacy transformation
  • Experience with infrastructure as code, cloud deployment, scripting, and CI/CD tools
  • Strong knowledge of security practices including RBAC, secrets management, patching, vulnerability remediation, SSO, and SAML
  • Strong communication, problem-solving, analytical, and cross-functional collaboration skills
  • Proven ability to lead through ambiguity, influence stakeholders, and align teams around a common technical direction
Job Responsibility
Job Responsibility
  • Lead, coach, and develop a team of engineers, providing technical guidance, career development support, and ongoing performance feedback
  • Set the engineering vision, roadmap, and execution strategy for HRIS platforms in alignment with organizational goals and enterprise architecture standards
  • Modernize legacy platforms through automation, cloud enablement, improved engineering practices, and scalable platform design
  • Guide the full engineering lifecycle including requirements definition, architecture, implementation, release, support, and continuous improvement
  • Drive platform engineering practices including infrastructure as code, CI/CD, observability, resiliency, and secure-by-design delivery
  • Partner with HR, security, infrastructure, architecture, delivery, data, and enterprise platform teams to align technical solutions with business needs
  • Build team capability in automation, scripting, cloud deployment, modern platform tools, and engineering best practices
  • Implement and continuously improve performance management processes for the team, including goal setting, regular reviews, development planning, and accountability for results
  • Develop and manage plans, priorities, resource allocation, and execution risks to ensure initiatives are delivered on time and with high quality
  • Identify, assess, and mitigate technical and operational risks while driving pragmatic solutions to complex engineering challenges
What we offer
What we offer
  • Relocation benefits
  • Total rewards (from day one)
  • Fulltime
Read More
Arrow Right

Sr Finance Manager- AI & Finance Transformation

This role sits at the intersection of Finance, Data, and AI. The mandate is stra...
Location
Location
United States , Overland Park; Bellevue
Salary
Salary:
Not provided
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years in FP&A, Finance Transformation, Data, or related field
  • Demonstrated experience building or deploying AI/ML or automation solutions (not just using them)
  • Working knowledge of agentic AI concepts (multi-step workflows, tool use, retrieval, orchestration)
  • Strong understanding of FP&A fundamentals (forecasting, budgeting, variance analysis)
  • Experience working with enterprise data platforms (Snowflake, Azure, etc.)
  • Ability to translate ambiguous business problems into scalable technical solutions
  • Bachelor’s degree in Finance, Accounting, Economics, Computer Science, Data Science, Information Systems, Engineering, or related field
  • Equivalent combination of education, technical training, and relevant experience may be considered
  • At least 18 years of age
  • Legally authorized to work in the United States
Job Responsibility
Job Responsibility
  • Own AI-driven transformation of FP&A workflows
  • Identify high-value use cases across Network and IT finance
  • Replace legacy Excel/manual models with scalable, automated solutions
  • Design and deploy agentic AI solutions
  • Build or orchestrate agent-based systems leveraging modern AI platforms (e.g., Anthropic, Google, OpenAI, etc.)
  • Implement workflows that integrate reasoning, retrieval, and execution across financial datasets
  • Integrate enterprise data ecosystems
  • Connect and normalize data across Snowflake, Azure, and other platforms
  • Incorporate structured and unstructured data from procurement, accounting, network systems, and IT
  • Enable and scale adoption
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Manager, Software Engineering - AI and Data Platform

The Engineering Manager, Data & AI Platform is responsible for leading teams tha...
Location
Location
United States of America
Salary
Salary:
133700.00 - 173800.00 USD / Year
blackbaud.com Logo
Blackbaud
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred)
  • 3+ years of experience managing and developing data engineering teams
  • Hands‑on experience with modern data platforms, cloud data lakes/lakehouses, distributed processing, streaming, APIs
  • Strong understanding of platform engineering principles and operating production systems at scale
  • Proven ability to lead through ambiguity and influence without authority.
Job Responsibility
Job Responsibility
  • Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers
  • Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design)
  • Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards
  • Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity
  • Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement)
  • Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization
  • Establish clear roadmaps, milestones, and success metrics for platform initiatives
  • Hire, mentor, and grow high‑performing platform engineers across geographies
  • Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy
  • Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills
What we offer
What we offer
  • Medical, dental, and vision insurance
  • Remote-flexible workforce
  • Wellness Programs
  • 401(k) program with employer match
  • Flexible paid time off
  • Generous Parental Leave
  • Donations for Doers
  • Pet insurance, legal and identity protection
  • Tuition reimbursement program
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager Conversational AI

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Wellesley
Salary
Salary:
130295.00 - 284280.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
July 02, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of experience managing engineers
  • 10+ years of experience with designing and building software engineering solutions in cloud environments
  • 10+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
  • 10+ years of experience with APIs, microservices, and modern software patterns
  • 5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
  • 5+ year(s) of experience independently managing deliverables
Job Responsibility
Job Responsibility
  • Oversee digital engineering projects, ensuring successful delivery within scope, budget, and timeline
  • Shape long-term plans, technology adoption strategies, and innovation initiatives to drive digital transformation
  • Provide technical leadership, guiding the team in best practices, optimizing development processes, and resolving technical challenges
  • Partner with senior leadership to define and execute the digital engineering strategy and roadmap in alignment with business objectives
  • Contribute to solution design and architecture, collaborating with product teams, architects, and senior engineers
  • Engage with key stakeholders—including business leaders, clients, and partners—to gather requirements, clarify expectations, and align priorities
  • Establish and enforces quality assurance processes to ensure the delivery of high-performing, reliable digital solutions
  • Champion continuous improvement by identifying opportunities for enhancement, refining processes, and optimizing development workflows
  • Lead a few teams of software engineers, provide mentorship, foster professional growth, and ensure team effectiveness
What we offer
What we offer
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
  • Fulltime
Read More
Arrow Right

AI & Transformation Programme Manager

The AI & Transformation Programme Manager will oversee large-scale programmes th...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years’ experience in programme management, including leadership of large (£5m+), multi‑workstream transformation programmes
  • Proven ability to operate with high ambiguity and drive clarity in fast‑evolving environments
  • Demonstrable experience managing C‑suite or director‑level stakeholder groups
  • Experience leading programmes blending AI, data, engineering, and business‑change initiatives
  • Strong commercial management experience, including budget ownership, business case development, contract management, and vendor oversight
  • Proven track record delivering programmes within regulated or complex enterprise environments and leading delivery teams of mixed geographical locations (shores)
  • Excellent communication, coordination, and stakeholder management skills
  • Problem-solving mindset with adaptability to fast-changing environments
Job Responsibility
Job Responsibility
  • Lead large‑scale programmes across both public and private sector clients spanning AI and non‑AI aspects, ensuring delivery to scope, timelines, and strategic outcomes
  • Own programme mobilisation, governance, delivery structures, and financial controls across multiple parallel AI and business workstreams
  • Provide authoritative leadership in environments with high ambiguity, shaping direction, clarifying requirements, and enabling decision‑making
  • Engage and influence senior stakeholders across client organisations
  • drive alignment across business, data, engineering, security, and operations functions
  • Develop and maintain delivery plans, tasks, actions and RAID items to ensure structured and consistent delivery execution
  • Represent programme status, risks, strategic decisions, and business impact to executive steering groups
  • Manage RAID across a multi‑partner ecosystem, including dependencies between AI and broader transformation initiatives
  • Oversee programme commercials, forecasting, financial governance and vendor/partner management
  • Coordinate delivery across data foundations, ML/GenAI workstreams, operational transformation, and user‑centred design
What we offer
What we offer
  • Tailored benefits that support your physical, emotional, and financial wellbeing
  • Continuous growth and development opportunities
  • Flexible work options
  • Inclusive work environment
  • Range of Inclusion Networks (Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, Parent Network)
  • Disability Confident Committed Employer
  • Guaranteed interview for applicants who declare a disability and meet the minimum requirements
Read More
Arrow Right