AI Automation Consultant Job at Maisa (Valencia)

Ai Automation Consultant

We're seeking an AI Automation Consultant to join our Client Services team. You'...

Location

United States , Miami

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable experience in automation development, low-code/no-code platforms, or technical implementation roles
Hands-on experience working with APIs and integrations in a delivery context
Demonstrated ability to learn new platforms quickly, with evidence of working across multiple tools
Ability to ship under pressure without sacrificing reliability
pragmatic, not perfectionist
Strong attention to detail in configuration, testing, and documentation
Hands-on experience applying AI in practical contexts, beyond prompting ChatGPT
Professional fluency in Spanish and English
Bachelor's or Master's degree in IT, Engineering, or related field

Job Responsibility

Build and configure Digital Worker configurations in Maisa Studio based on technical specifications from the Solutions Architect
Configure integrations including APIs, connectors, and data flows as defined in the solution design
Raise specification gaps or feasibility issues early
Own and execute UAT with production data, documenting results and resolving defects
Certify that Digital Workers meet defined KPIs and success criteria before go-live
Collaborate with the Solutions Architect during UAT to confirm the build matches the designed experience
Manage go-live deployment following established procedures
Hand over to operations with complete documentation: configuration details, known limitations, runbooks, and support notes
Ensure operational teams have everything they need to maintain the Digital Worker post-launch
Partner closely with the Solutions Architect

Fulltime

Ai Automation Consultant

We're seeking an AI Automation Consultant to join our Client Services team. You'...

Location

Germany , Düsseldorf

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable experience in automation development, low-code/no-code platforms, or technical implementation roles
Hands-on experience working with APIs and integrations in a delivery context
Demonstrated ability to learn new platforms quickly, with evidence of working across multiple tools
Ability to ship under pressure without sacrificing reliability
pragmatic, not perfectionist
Strong attention to detail in configuration, testing, and documentation
Hands-on experience applying AI in practical contexts, beyond prompting ChatGPT
Native German, Professional fluency in English, Spanish is a plus not a must
Bachelor's or Master's degree in IT, Engineering, or related field

Job Responsibility

Build and Configure: Implement Digital Worker configurations in Maisa Studio based on technical specifications from the Solutions Architect
Configure integrations including APIs, connectors, and data flows as defined in the solution design
Raise specification gaps or feasibility issues early
don't wait, don't assume
Test and Validate: Own and execute UAT with production data, documenting results and resolving defects
Certify that Digital Workers meet defined KPIs and success criteria before go-live
Collaborate with the Solutions Architect during UAT to confirm the build matches the designed experience
Deploy and Hand Over: Manage go-live deployment following established procedures
Hand over to operations with complete documentation: configuration details, known limitations, runbooks, and support notes
Ensure operational teams have everything they need to maintain the Digital Worker post-launch

Fulltime

AI Automation Consultant

Our agentic process automation platform helps enterprises automate complex, deci...

Location

Spain , Valencia; Madrid; Barcelona

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable commercial and technical experience in technical consulting, solutions engineering, or similar client-facing technical roles
Strong understanding of business process automation concepts and implementation approaches, ideally with RPA, BPM, or workflow automation implementations experience
Experience with AI prompt engineering or designing LLM-based solutions
Familiarity with API integration standards, concepts and data connectivity approaches, across common enterprise software systems and data structures (ERP, CRM, etc)
Ability to understand and map client business processes to technical solutions
Excellent client-facing communication skills, with the ability to explain technical concepts to non-technical audiences
High proficiency in Spanish and English languages
Problem-solving mindset with strong attention to detail
Basic understanding of common enterprise systems and data structures
Availability to travel to Client's on site locations or other events

Job Responsibility

Client Solution Design & Implementation: Work closely with clients to understand their business processes and identify high-value automation opportunities
Design and implement Digital Workers using maisa's Studio platform to address specific client use cases, developing effective AI prompting strategies that enable Digital Workers to execute tasks accurately and reliably
Configure API integrations and data connections to enable Digital Workers to interact with client systems
Build and refine Digital Workers through iterative development and testing, whilst documenting implementations and creating knowledge transfer materials for client teams
Client Enablement & Support: Onboard and train client teams on how to operate, monitor, and maintain their Digital Workers and provide technical troubleshooting and optimization support for deployed Digital Workers
Conduct regular check-ins with clients to ensure Digital Workers are performing as expected and identify / implement opportunities to improve Digital Worker performance and capabilities
Serve as a trusted technical advisor on AI automation best practices, supporting clients in scaling their Digital Worker implementations across additional use cases
Solution Development & Knowledge Building: Develop reusable solution components and templates to accelerate future implementations, documenting successful implementation patterns and contributing to internal knowledge base
Collaborate with product and engineering teams to improve the platform based on client needs, contributing feature feedback and expertise in AI prompting techniques
Share insights and learnings with the broader solutions engineering team

What we offer

Opportunity to work with cutting-edge Agentic Process Automation
Directly influence how major multinational organizations transform critical business processes
Work on genuinely differentiated technology that solves real enterprise AI challenges
Expedite your learning and development
Work alongside deep technical and industry experts

Fulltime

AI Automation Consultant

Our agentic process automation platform helps enterprises automate complex, deci...

Location

Spain , Valencia; Madrid; Barcelona

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable commercial and technical experience in technical consulting, solutions engineering, or similar client-facing technical roles
Strong understanding of business process automation concepts and implementation approaches, ideally with RPA, BPM, or workflow automation implementations experience
Experience with AI prompt engineering or designing LLM-based solutions
Familiarity with API integration standards, concepts and data connectivity approaches, across common enterprise software systems and data structures (ERP, CRM, etc)
Ability to understand and map client business processes to technical solutions
Excellent client-facing communication skills, with the ability to explain technical concepts to non-technical audiences
High proficiency in Spanish and English languages
Problem-solving mindset with strong attention to detail
Basic understanding of common enterprise systems and data structures
Availability to travel to Client's on site locations or other events

Job Responsibility

Work closely with clients to understand their business processes and identify high-value automation opportunities
Design and implement Digital Workers using maisa's Studio platform to address specific client use cases, developing effective AI prompting strategies that enable Digital Workers to execute tasks accurately and reliably
Configure API integrations and data connections to enable Digital Workers to interact with client systems
Build and refine Digital Workers through iterative development and testing, whilst documenting implementations and creating knowledge transfer materials for client teams
Onboard and train client teams on how to operate, monitor, and maintain their Digital Workers and provide technical troubleshooting and optimization support for deployed Digital Workers
Conduct regular check-ins with clients to ensure Digital Workers are performing as expected and identify / implement opportunities to improve Digital Worker performance and capabilities
Serve as a trusted technical advisor on AI automation best practices, supporting clients in scaling their Digital Worker implementations across additional use cases
Develop reusable solution components and templates to accelerate future implementations, documenting successful implementation patterns and contributing to internal knowledge base
Collaborate with product and engineering teams to improve the platform based on client needs, contributing feature feedback and expertise in AI prompting techniques
Share insights and learnings with the broader solutions engineering team

Fulltime

Internship - Digital Worker / AI Automation Consultant

We're seeking an AI / Digital Worker Solutions Engineer Intern to help our clien...

Location

Spain , Barcelona; Madrid; Valencia

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Relevant educational degree in computer science, engineering, automation, or business
Familiarity with API integration concepts and data connectivity approaches
Understanding of business process automation concepts and implementation approaches
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
Problem-solving mindset with strong attention to detail
Basic understanding of common enterprise systems and data structures
Availability to travel to the Client's on-site locations or other events

Job Responsibility

Client Solution Design & Implementation: Collaborate with our team and work closely with clients to understand their business processes and identify high-value automation opportunities
Participate in the design and implementation of Digital Workers using Maisa's Studio platform to address specific client use cases
Develop effective AI prompting strategies that enable Digital Workers to execute tasks accurately and reliably
Configure API integrations and data connections to enable Digital Workers to interact with client systems
Build and refine Digital Workers through iterative development and testing
Document implementation details and create knowledge transfer materials for client teams
Client Enablement & Support: Provide technical troubleshooting and optimization support for deployed Digital Workers
Identify and implement opportunities to improve Digital Worker performance and capabilities
Support clients in scaling their Digital Worker implementations across additional use cases
Solution Development & Knowledge Building: Document successful implementation patterns and contribute to the internal knowledge base

What we offer

Opportunity to shape the future of accountable enterprise AI agents
Competitive compensation package
Flat organization focused on impact rather than hierarchy
Work with cutting-edge computational AI technology
Dynamic, experienced team of technical experts
Continuous learning in the rapidly evolving field of Agentic AI

AI Consultant / AI Adoption Specialist

We are looking for a highly skilled and client-focused AI Consultant / AI Adopti...

Location

India , Bangalore

Salary:

Not provided

Squared Circle

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience in custom AI development or AI solution implementation
3+ years of experience in client-facing roles such as Project Manager, Customer Success Manager, Account Manager, or similar positions within a services company or digital agency
Strong understanding of AI concepts and technologies, including areas such as machine learning, NLP, chatbots, automation, and cloud-based AI platforms
Practical exposure to AI projects, either through development, implementation, coordination, or solution delivery
Ability to manage multiple client engagements and communicate effectively with both technical teams and business stakeholders
Strong analytical and problem-solving skills with the ability to translate business needs into AI opportunities
Comfortable working with international clients, particularly across EU, GCC and SEA time zones when required
Bachelor degree & Master degree preferred

Job Responsibility

Partner with all workstreams to understand their business challenges and identify opportunities where AI can create value
Assess client requirements and translate them into AI-driven solution strategies
Develop practical AI adoption roadmaps aligned with the client’s strategic objectives
Collaborate with internal technical teams to design, propose, and support the delivery of AI-powered solutions
Present AI capabilities and opportunities in a clear, business-friendly way to senior stakeholders and decision-makers
Own and manage the client journey from initial discovery and solution scoping through implementation and ongoing support
Stay up to date with emerging AI technologies, tools, and real-world use cases to continuously bring new value to clients

Lead AI Consultant

Softwire is looking for a Lead AI Consultant to help our clients turn the curren...

Location

United Kingdom , London; Cambridge

Salary:

Not provided

Softwire

Expiration Date

Until further notice

Requirements

Senior engineering capability: significant experience building and shipping production software, confident working across architecture, implementation, deployment, and operational support
Technical leadership and delivery ownership: lead technical direction, choose appropriate patterns, establish standards, help teams make trade-offs, ensure work scales
Practical experience applying AI in real teams: enthusiastic about bringing AI into development teams, including AI tooling to support development (coding assistants, test generation, refactoring support, documentation acceleration, internal workflows) and building products that incorporate AI/LLM features (assistants/copilots, summarisation, document understanding, semantic search/RAG, extraction, classification, decision support, workflow automation)
Strong engineering fundamentals: automated testing strategies (unit/integration/e2e), good CI/CD hygiene and code review practices, clean boundaries and readable extensible code, observability and operational readiness (logging, monitoring, failure modes)
Confidence working with AI uncertainty and risk: understand AI systems behave differently, design for predictable behaviour, graceful degradation, appropriate safeguards, explain limitations clearly and manage risk responsibly
Strong balance of AI/engineering and client skills: bridge gap between business needs and technical approaches, familiarity with current AI landscape, focus on client needs, ability to innovate
Pragmatic, product-minded, outcomes-driven approach: start with user and business outcomes, challenge whether AI is right approach, prefer simple testable production-ready solutions over fragile prototypes, build AI-enabled features teams can confidently own and improve, work iteratively with short feedback loops and continuous learning, raise capability across teams by coaching, pairing, and sharing patterns

Job Responsibility

Work hands-on within multidisciplinary teams to design and deliver AI-enabled software
Help clients make the right calls on where AI adds value (and where it doesn't)
Use, advise on, and develop AI-related features such as: intelligent search/retrieval experiences and RAG, summarisation and document comprehension at scale, context management, AI agents, MCP servers, best-practice configuration of AGENTS.md, advanced use of tools such as Claude Code and Codex, assistants and copilots embedded into workflows, classification, extraction, and decision support tooling, retraining and fine-tuning models, trade-offs between different models (including open models), calculation/forecasting of token usage, vector databases, well-formed opinions on and experience of AI-enhanced SDLCs
Set teams up for sustainable success through strong engineering practices (testing, CI/CD, observability, quality), clear system boundaries and maintainable architecture, safe and secure deployment patterns for AI components at scale, AI performance, accuracy, and reliability monitoring through evals
Coach and upskill client engineers on pragmatic, safe adoption of AI tools and techniques
Keep yourself and your team up-to-date on the latest AI techniques and technology
Contribute to Softwire's internal capability building: patterns, accelerators, reusable approaches, and a strong culture of 'learning by building'

What we offer

25 days annual leave (with option to buy and sell)
time off for company-wide morale activities
time off for charitable/CSR activities
free annual eye test
opt-in health insurance
cycle to work scheme
payroll charity donations
additional 5% of salary pension
profit share based on role and overall company performance (£8,500 – £15,250 over last three years)

Fulltime

Principal Consultant, AI Business Solutions

Microsoft Industry Solutions Delivery (ISD) is a global organization of industry...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or related field AND demonstrated experience delivering production software solutions (or equivalent experience)
18+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer environments.

Job Responsibility

Embed with customer stakeholders to understand business workflows, constraints, and success metrics
translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI/agentic scenarios
Design and implement agentic and GenAI solutions on Microsoft platforms (e.g., Dynamics 365, M365 Copilots, Power Platform, Azure) including integrations, APIs, and automations that accelerate adoption and deliver measurable outcomes
Prototype rapidly, then harden to production: build POCs for agentic workflows (multi-step tasks, tool-use, orchestration), validate with users, and evolve production-ready implementations with testing, monitoring, and secure deployment patterns
Own end-to-end delivery from architecture through implementation: define build/test specifications, create eval and quality gates for GenAI outputs, and produce operational guides/runbooks for reliability, safety, and maintainability
Identify and mitigate business/technical risks specific to AI systems (data access, prompt injection, hallucinations, privacy, compliance, latency, cost)
propose safeguards and fallback behaviors for agentic flows
Support deployment and live stabilization: troubleshoot integrations and model behavior in real environments, iterate quickly, and ensure successful go-live with clear ownership, monitoring, and incident playbooks
Balance platform configuration with extensibility to maximize speed and maintainability. Co-engineer with customer teams to ensure knowledge transfer, documentation, and reusable patterns. Drive delivery plans across the full lifecycle—discovery, build, eval, deployment, and operations—accounting for dependencies across data, security, and enterprise systems
Build agentic workflows that invoke tools/APIs safely (function calling patterns), with guardrails, validation, and auditability

Fulltime

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AI Automation Consultant

Job Description

Job Responsibility

Requirements

What we offer

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