Engineering Manager, AI Transformation Job at Dialpad (Bengaluru)

AI Engineering Manager

AI Engineering Manager – Investment Management. Orbis are proudly working with a...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

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

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

Senior Manager, AI Solutions and Integrations Engineering

Join the Corporate Engineering team as the Sr. Manager, AI Solutions, where you'...

Location

United States , Denver; San Francisco

Salary:

163000.00 - 227000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Proven experience in leading and managing teams, with a focus on AI/ML projects
Strong ability to engage and align with executive stakeholders, driving strategic initiatives
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of professional experience in engineering roles focused on productivity or data-centric solutions
Robust programming skills in Python and experience with AI frameworks and technologies such as TensorFlow, PyTorch, and containerizing solutions with tools like Docker and Kubernetes within cloud environments like AWS and Azure
Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
A deep interest in leveraging AI to transform internal processes and enhance employee productivity.

Job Responsibility

Lead and mentor a team of AI Solutions Engineers, fostering a culture of innovation and continuous improvement
Engage with executive stakeholders to align AI initiatives with organizational goals, ensuring strategic alignment and impactful outcomes
Collaborate with internal stakeholders across various departments to gather requirements, understand workflows, and propose AI-driven improvements
Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
Work with cross-functional teams to integrate AI technologies into existing systems and workflows
Gather feedback on AI solutions, refining them based on user needs and business objectives
Conduct training sessions and workshops to help internal teams understand and adopt AI solutions
Stay up to date on the latest AI advancements and share relevant findings with the team to help inform solution design
Present findings, progress updates, and future proposals to internal stakeholders, from team members to executive leadership.

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend
In-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Engineering Manager - Machine Learning

We’re looking for an experienced Engineering Manager to lead the ML Soundtrack t...

Location

Sweden , Stockholm

Salary:

Not provided

Epidemic Sound

Expiration Date

Until further notice

Requirements

Deep ML engineering background with hands-on experience in generative diffusion models for audio/music (including PyTorch and modern training stacks)
Proven experience deploying ML systems into production at scale, with a focus on latency, stability, and cost
Strong ML system design and architecture skills across the full machine learning lifecycle
Track record of managing engineering teams
Demonstrated ability to set clear goals, manage performance, and grow engineers through mentorship and feedback

Job Responsibility

Own the technical roadmap and model strategy for generative music, including diffusion and transformer-based approaches
Lead the full lifecycle from research to production, championing training, evaluation, and deployment for real-time inference
Drive the productionisation of inference through model optimisation (distillation, quantisation), caching, and cost controls
Build and maintain team health through effective rituals, 1:1s, and fostering a psychologically safe, high-ownership culture
Manage cross-team dependencies and delivery with data, MLOps, and product engineering teams

Fulltime

Senior AI Solutions Manager

This role is designed for a professional with a strong track record in driving d...

Location

Saudi Arabia , Al Khobar

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

Proven experience in enterprise technology consulting and managing complex AI solution deployments, particularly within industrial or high-tech sectors (Preferred 8-12 years), more is a plus
University degree in computer science, or related (M.Sc. or PhD is preferred)
Deep technical expertise in AI frameworks, platforms, and integration methodologies
Demonstrated success in technical pre-sales support and in managing strategic partner ecosystems
Strong leadership, project management, and stakeholder engagement skills, with a track record of delivering transformative digital solutions

Job Responsibility

Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges
Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact
Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements
Oversee the full lifecycle of AI projects - from initial scoping and conceptualization to deployment and post-implementation support ensuring timely delivery and budget adherence
Engage closely with client representatives, internal R&D teams, product design team, and technical staff (both software engineering and data science) to maintain clear communication and alignment on objectives, deliverables, and timelines
Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution
Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages
Analyze and reengineer business processes with AI-driven enhancements to boost operational efficiency and drive measurable results
Lead change initiatives by advising on best practices for technology adoption and delivering targeted training to upskill client teams
Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients

OpEx Digital Transformation Engineer

Baxter seeks an OpEx Digital Transformation Engineer who will lead and sustain d...

Location

United States , Round Lake

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

3+ years of experience in leading complex projects in a global manufacturing organization
BS in Engineering / Computer Science
Solid understanding and demonstrated track record of using open-source programming tools such as Python, OpenCV, Tableau, Node-RED, etc.
Exposure to and understanding of computer vision systems and AI Models
Advanced robotics technologies such as autonomous mobile robots (AMRs), automatic guided vehicles (AGVs), and collaborative robots
PLC programming and architecture such as Allen-Bradley, Siemens, Omron, etc.
Experience with manufacturing operations, MES, SCADA, Plant Historian, and data acquisition methods
Knowledge in concepts of 'Six Sigma' quality techniques
Qualification and training in formal and systematic methods of program planning, management, and control
Financial understanding of the business value of transformation programs

Job Responsibility

Partner with business, commercial, and IT leaders to drive progress for digital transformation initiatives
Build and lead digital transformation at the site
Serve as a Digital Transformation evangelist
Identify use cases to improve operational metrics
Drive benefit realization and partner with manufacturing sites to address gaps
Perform infrastructure assessments and create transformation plans with regional teams
Manage risks and opportunities during project implementation
Plan and execute digital initiatives with minimal guidance
Lead engineers and technicians on assigned work
Coordinate tasks with contractors and suppliers.

What we offer

Paid Time Off
Employee Health & Well-Being Benefits
Continuing education/professional development
Support for parents
Employee Assistance Program
Medical and dental coverage
Insurance for basic life, accident, short-term and long-term disability
Employee Stock Purchase Plan (ESPP)
401(k) Retirement Savings Plan
Flexible Spending Accounts

Fulltime

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
Expertise in scripting and automation (Python, Go, or Bash)
Solid understanding of container technologies, Kubernetes, and cloud build systems
Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
Excellent communication and ability to drive technical decisions across multiple platform and product teams

Job Responsibility

Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Engineering Manager, AI Transformation

Dialpad

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 25, 2026

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