AI Solutions Lead Job at K2 Partnering Solutions

AI Solutions Lead

We are looking for a strategic technical leader to architect our next generation...

Location

Croatia , Zagreb

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Professional experience in machine learning and software engineering
At least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor)
Proven ability to architect and deploy scalable, production-grade ML and/or GenAI solutions on a major cloud platform (GCP is a significant asset)
Hands-on experience with Infrastructure-as-Code tools (e.g. Terraform)
Deep expertise in AI/ML technologies, including both traditional Machine Learning and GenAI
Strategic thinker who can translate AI capabilities into business value and competitive advantage
Great communication skills with the ability to educate and influence at all organizational levels
Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement

Job Responsibility

Develop and own the growing roadmap of internal and externally facing AI solutions, agents, IP, and products
Work with the Head of AI and OCTO leadership to define the long term AI strategy of the whole business, and align AI technical capabilities and service offerings to company strategic goals
Drive the execution of the strategy by writing technical standards, creating customer offerings and selling the vision to the internal team
Define and develop internal/ external accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders
Work with the Head of AI to create service offerings and associated technical architectures
Coach the wider engineering and sales team on how to pitch and implement these offerings
Act as the lead technical authority in the region, partnering with the sales team to lead or support other teams in presales engagements, and with the engineering team to guide or lead technical delivery
Establish an engineering culture of excellence, curiosity and rapid learning
Help mentor and coach the Machine Learning Engineering team in the region
Collaborate with the Talent team to support the growth of the Machine Learning Engineering team in the region

Fulltime

Director - Healthcare & Generative AI Solutions Lead

We are looking for an executive-level leader based in India who deeply understan...

Location

India , Ahmedabad

Salary:

Not provided

Dash Technologies

Expiration Date

Until further notice

Requirements

10–15 years of experience in IT services / IT consulting
Minimum 5–7 years focused on the US healthcare market (providers, payers, MedTech/HealthTech)
Hands-on experience with Generative AI in a business / product / solution context is essential
Strong background in at least one of: Healthcare digital transformation, clinical workflows, RCM, patient engagement, care management, or healthcare analytics
Proven track record building or productizing solutions/accelerators in an IT services environment
Comfortable interacting with CXO/VP-level stakeholders in US healthcare organizations and explaining AI concepts in simple business language
Understanding of US healthcare regulations and standards (HIPAA, PHI handling)
Experience working with distributed/global teams with some overlap to US time zones
Excellent English communication – written, verbal, and presentation

Job Responsibility

Analyze the US healthcare market and identify high-value problems within healthcare customer segments
Design and build AI-powered solution accelerators (LLM-based tools, workflows, reference architectures, PoCs)
Conduct deep research on the US healthcare ecosystem with a lens on where AI can create value
Analyze trends in healthcare + AI
Map and prioritize opportunities based on revenue potential, feasibility, and alignment with our capabilities
Run structured discovery with customers/prospects and internal stakeholders
Identify concrete generative AI use cases in healthcare
Work with technical/AI teams to design and build accelerators
Define the architecture at a high level and ensure alignment with compliance standards
Ensure accelerators are repeatable, configurable, and implementable across multiple clients

Fulltime

Ai-Data Solutions Lead -Vice President

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of progressive experience in data analysis, business analysis, or systems analysis, with a strong emphasis on data quality initiatives, AI driven data analytics, and system implementation, preferably within a leadership or senior specialist capacity
Demonstrated advanced proficiency and practical application of Agentic AI, LLM, and GenAI tools for developing innovative data analytical solutions
Experience in designing and implementing AI/ML-driven data solutions is essential
Expert-level proficiency in data analysis and management tools and applications, including Oracle, PL-SQL, advanced data lineage tools, and enterprise data cataloging solutions
Strong familiarity with business intelligence and reporting concepts (e.g., dashboards, metrics, and reporting layers)
extensive hands-on experience reviewing documentation for BI tools such as Tableau is a significant plus
Proven leadership experience, including mentoring junior team members, fostering skill development, and leading cross-functional projects
Demonstrated ability to work independently with minimal supervision, taking full ownership of initiatives, and driving them to successful completion from conception to delivery
Extensive prior experience (minimum 6 years) in the banking or financial services industry is required, with deep exposure to enterprise risk management or specific risk management categories, including a strategic understanding of the role of data in risk reporting, monitoring, and decision-making
Exceptional analytical, problem-solving, and organizational skills, with the ability to interpret highly complex data requirements, synthesize diverse information, and translate them into actionable, executive-level specifications

Job Responsibility

Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Spearhead the integration and advanced application of Agentic AI, LLM, and other Generative AI (GenAI) tools to develop sophisticated and innovative data analytical solutions for Enterprise Risk Management
Define, develop, and implement AI/ML strategies for predictive modeling, advanced anomaly detection, automated reporting, and enhanced risk insights within the financial risk domain
Evaluate and recommend new AI/ML technologies and methodologies to continuously improve data analysis and reporting capabilities
Proactively identify strategic data opportunities and challenges, proposing innovative solutions to enhance Enterprise Risk Management capabilities and reporting effectiveness

Fulltime

AI Solutions & Engineering Lead

We are looking for a senior, hands‑on AI Solutions & Engineering Lead to design,...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

5+ years experience in machine learning, AI engineering or software development, with a demonstrated track record of deploying machine learning models and AI solutions in production environments
Strong Python skills for building production AI services
Hands‑on experience running LLM‑based systems in production
Experience with RAG architectures, embeddings, and vector search
Proven ability to design scalable, maintainable systems and APIs
Solid understanding of production operations (monitoring, logging, error handling)
Cloud deployment experience (Azure preferred)
Strong understanding of data pipelines, SQL, and data quality
Working knowledge of AI governance, access control, and responsible AI practices

Job Responsibility

Own AI engineering and architectural decisions across enterprise solutions
Design and build production‑grade AI systems and pipelines
Take AI solutions from prototype to reliable production
Define engineering standards, quality bars, and production readiness
Shape feasibility, prioritization, and technical approach for AI initiatives in partnership with the Director, without owning overall AI strategy
Translate business problems into scalable, technically sound AI solutions
Work with Data, Security, Legal, Compliance and others on safe AI delivery

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Enterprise AI Solutions Technical Lead

Act as the technical lead responsible for implementing enterprise customers’ req...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
5–7 years of hands-on experience in developing and deploying AI/ML models in production environments
Advanced proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong expertise in building advanced Generative AI (GenAI) and Natural Language Processing (NLP) applications using modern large language models and frameworks (e.g., Hugging Face, Langchain, OpenAI APIs, Agents Frameworks)
Experience with big data processing and distributed computing using Apache Spark or similar technologies
Proficiency in building, deploying, and managing AI, GenAI and big data applications on cloud platforms (e.g., AWS, Azure, GCP)
Experience with MLOps tools and techniques for versioning, CI/CD, monitoring, and scaling models

Job Responsibility

Translate customers’ requirements into actionable data science tasks and implementation plans
Lead the development, training, and deployment of AI models and data pipelines tailored to customer-specific requirements
Ensure models and AI components are scalable, efficient, and production-ready, with smooth integration into customer systems and enterprise platforms
Serve as the subject matter expert (SME) in machine learning, data science, and AI engineering practices
Provide hands-on technical guidance to data scientists, engineers, and MLOps teams, ensuring accurate and effective implementation
Lead technical squads through virtual collaboration, guaranteeing solutions are built to meet both customer expectations and technical standards
Validate model performance, data quality, and technical fit before solution handover
Collaborate with the Enterprise Tech Leads and Product Owners to review and confirm solution readiness based on business impact, feasibility, and model validation results
Provide input on task prioritization based on complexity, risk, and technical dependencies
Work alongside the Enterprise team to ensure implemented AI solutions meet business outcomes and address real customer needs

AI Solutions Sales Lead

We are seeking a strategic, consultative, and entrepreneurial sales lead who wil...

Location

India , Pune; Mumbai

Salary:

Not provided

Left Right Mind

Expiration Date

Until further notice

Requirements

7+ years of full-cycle B2B enterprise sales experience
3+ years in AI/ML, SaaS, or digital consulting
Proven success in selling high-value, consulting-led, and transformation-focused solutions
Strong understanding of: Experience with regulated industries like BFSI, healthcare, or government
Track record of working across geographies, including India, the US & Middle East
A background in a consulting firm or systems integrator is preferred
Familiarity with generative AI in enterprise environments
Knowledge of data governance, compliance frameworks, and knowledge graph use cases
Experience integrating SaaS platforms into large enterprise ecosystems (Microsoft, AWS, Salesforce)
Ability to handle long-cycle sales, engage diverse stakeholder groups, and manage complex deals

Job Responsibility

Own the entire sales lifecycle — prospecting, qualification, workshops, proposals, PoCs, pricing, and closure
Build and convert a multi-geo pipeline across India, the US, and the Middle East
Execute region-specific GTM strategies aligned to enterprise SaaS and AI-led transformation goals
Engage with CXOs, CDOs, heads of transformation, and IT leaders to identify innovation opportunities
Facilitate high-impact discovery, value articulation, and solution design engagements
Act as a trusted consulting partner, not a transactional seller
Sell AI-powered assistants, enterprise search platforms, and custom-built automation solutions
Collaborate with data science and architecture teams to shape tailored AI solutions
Translate technical components (e.g., LLMs, NLP, vector search, RAG) into compelling business outcomes
Contribute to the design and go-to-market of productized consulting services

Architecture Lead (Security & AI Solutions)

We are looking for a Cloud Solution Architect (CSA) Manager, specializing in sec...

Location

United Kingdom , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND extensive experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience
Solid people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers
OR equivalent experience

Job Responsibility

Lead your team to deliver customer objectives & Microsoft business targets
Lead them through change using the Demonstrated Capabilities framework and deliver positive Customer Satisfaction, and coach them to become trusted advisors to customers and partners, by leveraging Security expertise across M365 and Azure to enable defined Customer Success Plan outcomes
Coach the team to understand customer objectives and how Unified accelerates value realization and guide team to drive positive Customer Satisfaction & share feedback/insights from customers/partners
Coach the team to develop opportunities driving Customer Success business results by working with technical decision makers ensuring they understand Microsoft's security value proposition and get value from their investment in Microsoft technology through deep business understanding of security solution plays and customer scenarios
Coach the team to identify resolutions to issues blocking go-live of customer success projects by leveraging security technical subject matter expertise
Support them to lead technical conversations with customers to drive value from their MS investments, by delivering all work according to MS best practices and policies and using repeatable Intellectual Property (IP) and run your business and develop your team to meet customer needs and Microsoft business targets
Coach team to deliver according to MS best practices & using repeatable Intellectual Property (IP)
Foster a continuous self-learning culture and drive technical intensity, driving team to enable customers to realize desired business outcomes, including innovation
Model impactful community engagement and coach team to contribute to repeatable IP
Leverage your ability to apply principles, systems, tools, and strategic insights to sustainably improve key performance metrics (KPIs) and drive operational efficiencies and coach the team on situational fluency (Interpersonal Flexibility) by studying your customer, understanding the situation, "reading the room" and reacting accordingly as you coach the teams on how and when to pivot customer/ internal conversations based on what you observe in your environment

Fulltime

Generative Ai Solutions Application Development Lead Senior Vice President

This is a senior level Hands On Development role. Citi is seeking a highly exper...

Location

United States , Jersey City

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps
8+ years proven experience designing and implementing large-scale, complex microservices architectures in cloud environments (e.g., single/multi-tenant solutions on AWS, Azure, GCP)
8+ years experience and comprehensive understanding of software development lifecycle, microservices architecture, and API design principles
5+ years hands-on experience with Python as a primary development language, complemented by full-stack application development
5+ years experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices
5+ years experience in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models
Experience with diverse data storage solutions (NoSQL, SQL, data lakes) and pipeline orchestration
Demonstrated leadership abilities in managing and mentoring engineering teams, setting development standards, and driving project execution
Exceptional analytical, problem-solving, and troubleshooting skills, with a track record of delivering innovative solutions and improving performance
Bachelors Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience

Job Responsibility

Software Development - Hands on Software development
AI/ML Innovation: Drive the implementation of RAG-based architectures and leverage multimodal capabilities of commercial Large Language Models to build intelligent applications, including search, chat agents, and guided analytics
Engineering Excellence: Implement and champion best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment
Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks
Cross-Functional Collaboration: Influence and negotiate with senior leaders and external partners
Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery

What we offer

Discretionary and formulaic incentive and retention awards
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off (vacation)
unplanned time off (sick leave)
paid holidays

Fulltime

Select Country

AI Solutions Lead

Job Responsibility

Requirements

Looking for more opportunities?

AI Solutions Lead

AI Solutions Lead

Director - Healthcare & Generative AI Solutions Lead

Ai-Data Solutions Lead -Vice President

AI Solutions & Engineering Lead

Enterprise AI Solutions Technical Lead

AI Solutions Sales Lead

Architecture Lead (Security & AI Solutions)

Generative Ai Solutions Application Development Lead Senior Vice President

Our AI answers in your language