Ai Solution Engineer

Jobgether
Municipality of Alcobendas, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Municipality of Alcobendas, Spain

Tech stack

Artificial Intelligence
Automated Storage and Retrieval Systems
Azure
Computer Programming
Python
Knowledge Management
Microsoft Dynamics
TensorFlow
Salesforce
SAP Applications
SharePoint
SQL Databases
Enterprise Data Management
Enterprise Software Applications
Chatbots
Microsoft Power Automate
Large Language Models
Microsoft Fabric
AI Platforms
Machine Learning Operations
Databricks

Job description

ppbThis position is listed on behalf of a partner company, who manages all applications and next steps.Our partner is looking for an AI Solution Engineer based in Spain./b /p pThis is an exciting opportunity to join a global digital transformation environment where AI solutions are developed and deployed at scale to solve real business challenges.In this role, you will design, build, and implement AI?powered applications using both low?code and pro?code approaches, helping business teams unlock productivity and innovation.You will work at the intersection of AI engineering, automation, and enterprise technology, collaborating with cross?functional stakeholders across international teams.The position offers significant ownership, from proof of concept to production deployment, while contributing to strategic AI initiatives with direct business impact.This role is ideal for someone who enjoys combining technical expertise with problem?solving and thrives in fast?paced, innovation?driven environments./p h3Accountabilities: /h3 pAs an AI Solution Engineer, you will be responsible for delivering scalable and production?ready AI solutions while promoting best practices across the organization./p ul liDesign, develop, and deploy AI applications using low?code platforms such as Microsoft Copilot Studio, Power Automate, and similar technologies./li liBuild advanced AI solutions using Python, LLM APIs, retrieval systems, agentic workflows, and modern AI/ML frameworks./li liCollaborate directly with business stakeholders to identify opportunities, define requirements, and translate complex challenges into practical AI solutions./li liOwn the end?to?end lifecycle of AI projects, from ideation and prototyping through testing, validation, deployment, and continuous improvement./li liDevelop reusable templates, components, prompt patterns, and scalable frameworks to accelerate future AI initiatives./li liEnsure all solutions meet quality, governance, security, documentation, and compliance standards./li liContribute to internal AI communities by sharing knowledge, best practices, and emerging technologies./li liEvaluate new AI platforms, tools, connectors, and frameworks to continuously enhance delivery capabilities./li /ul h3Requirements: /h3 pThe ideal candidate combines hands?on AI engineering experience with strong business acumen and excellent communication skills./p ul liProven experience developing AI solutions using low?code platforms such as Microsoft Copilot Studio, Salesforce Agentforce, or Power Automate./li liStrong programming skills in Python and experience integrating LLM APIs such as Azure OpenAI, OpenAI, Anthropic, or equivalent technologies./li liSolid understanding of conversational AI concepts, including agent design, knowledge management, escalation workflows, and intent handling./li liExperience implementing AI evaluations, guardrails, responsible AI practices, and mechanisms to reduce hallucinations and improve reliability./li liAbility to work independently with stakeholders and deliver solutions in environments with evolving or ambiguous requirements./li liStrong organizational skills with the ability to manage multiple projects and stakeholders simultaneously./li liFluent English communication skills, both written and verbal./li liExperience with enterprise data connectors such as SAP, SharePoint, Salesforce, or Dynamics 365 is considered an advantage./li liFamiliarity with frameworks such as LangGraph, LLMOps/MLOps practices, SQL, Databricks, or Microsoft Fabric is a plus./li liCuriosity for emerging AI technologies and a continuous learning mindset./li /ul h3Benefits: /h3 ul liFlexible working hours to support work?life balance./li liHybrid work model with remote working opportunities./li liAdditional vacation purchase options and flexible holiday arrangements./li liSabbatical opportunities and extended leave programs./li liComprehensive family leave policies and wellbeing support initiatives./li liAccess to health and wellness platforms, fitness programs, and wellbeing resources./li liMedical support services and life insurance coverage./li liCareer development opportunities through global learning platforms, mentoring, and internal mobility programs./li liEmployee recognition initiatives and stock ownership opportunities./li liFlexible compensation plans including health insurance, meal vouchers, transportation support, and training benefits./li liAccess to employee discount programs and company-sponsored volunteering initiatives./li liOpportunity to work on high?impact AI projects within a global and highly innovative digital ecosystem./li /ul /p #J-*****-Ljbffr

Requirements

li /ul h3Requirements: /h3 pThe ideal candidate combines hands?on AI engineering experience with strong business acumen and excellent communication skills. /p ul liProven experience developing AI solutions using low?code platforms such as Microsoft Copilot Studio, Salesforce Agentforce, or Power Automate. /li liStrong programming skills in Python and experience integrating LLM APIs such as Azure OpenAI, OpenAI, Anthropic, or equivalent technologies. /li liSolid understanding of conversational AI concepts, including agent design, knowledge management, escalation workflows, and intent handling. /li liExperience implementing AI evaluations, guardrails, responsible AI practices, and mechanisms to reduce hallucinations and improve reliability. /li liAbility to work independently with stakeholders and deliver solutions in environments with evolving or ambiguous requirements. /li liStrong organizational skills with the ability to manage multiple projects and stakeholders simultaneously. /li liFluent English communication skills, both written and verbal. /li liExperience with enterprise data connectors such as SAP, SharePoint, Salesforce, or Dynamics 365 is considered an advantage. /li liFamiliarity with frameworks such as LangGraph, LLMOps/MLOps practices, SQL, Databricks, or Microsoft Fabric is a plus.

Benefits & conditions

li liCuriosity for emerging AI technologies and a continuous learning mindset. /li /ul h3Benefits: /h3 ul liFlexible working hours to support work?life balance. /li liHybrid work model with remote working opportunities. /li liAdditional vacation purchase options and flexible holiday arrangements. /li liSabbatical opportunities and extended leave programs. /li liComprehensive family leave policies and wellbeing support initiatives. /li liAccess to health and wellness platforms, fitness programs, and wellbeing resources. /li liMedical support services and life insurance coverage. /li liCareer development opportunities through global learning platforms, mentoring, and internal mobility programs. /li liEmployee recognition initiatives and stock ownership opportunities. /li liFlexible compensation plans including health insurance, meal vouchers, transportation support, and training benefits. /li liAccess to employee discount programs and company-sponsored volunteering initiatives. /li liOpportunity to work on high?impact AI projects within a global and highly innovative digital ecosystem. /li /ul /p #J-*****-Ljbffr

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