Technical Engineer
Technical Engineer
Posted on :
19-12-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Solution Design and Implementation:
- Develop and implement technical solutions using AI and machine learning to predict and proactively manage operational challenges.
- Translate business needs and technical requirements into architectural blueprints ensuring solutions align with organizational and technology standards.
- Create architectural designs incorporating predictive analytics and AIdriven insights using tools such as Splunk Dynatrace Azure Google Cloud Platform (GCP) and Vertex AI.
- Identify interdependencies and apply holistic thinking to ensure crossteam and crossinitiative alignment.
- Analyze design develop maintain and communicate solution roadmaps and transition architectures.
Stakeholder Collaboration:
- Work closely with business analysts product managers and development teams to translate business requirements into technical specifications.
- Bridge the understanding of business organizational and technical implications of proposed solutions with stakeholders.
- Facilitate alignment between teams to ensure solutions are valuedriven ontime and meet quality standards.
Technical Expertise:
- Stay updated on trends in AI machine learning and AIOps to identify and apply advancements in solving operational challenges.
- Provide guidance on options risks and benefits when proposing solutions.
- Evaluate and recommend tools technologies and methodologies including AI/ML lifecycle management practices and platforms like Vertex AI or Azure equivalents.
- Oversee implementation of solutions focusing on reducing technical debt and enhancing endtoend business value.
Documentation and Communication:
- Document and communicate architectural plans solutions and decisions effectively using tools like Confluence and Jira.
- Ensure solution documentation supports implementation maintenance and audit processes.
- Facilitate knowledge sharing across teams and stakeholders.
Quality Assurance and Continuous Improvement:
- Ensure implemented solutions adhere to industry standards and business requirements.
- Conduct reviews and audits to maintain architectural principles and identify improvement opportunities.
- Evaluate the solution lifecycle to optimize performance and costeffectiveness.
Leadership and Mentorship:
- Provide leadership and mentoring to junior architects and technical team members.
- Foster a collaborative innovative and learningfocused team environment.
- Teach architectural thinking and facilitate best practices across the engineering community.
Essential requirements:
Education:
- Bachelors degree in Computer Science Information Technology or related field.
- Advanced degrees or certifications in AI machine learning or cloud architecture (e.g. GCP Azure) are a plus.
Experience:
- Minimum of 7 years of experience in software engineering solution architecture or equivalent roles with 2 years in a Solution Architecture capacity.
- Proven experience designing solutions that integrate AI data science or AIOps technologies.
- Strong track record in implementing largescale solutions in diverse and complex environments.
- Experience in data architecture and highvolume system design for retail or operational environments.
- Experience working in largescale agile organizations (e.g. SAFe) is preferred.
Technical Proficiency:
- Expertise in cloud platforms such as Azure and Google Cloud Platform (GCP) including tools like Vertex AI for machine learning deployment.
- Proficiency in programming languages such as Python R and frameworks like TensorFlow and PyTorch.
- Knowledge of ITSM tools like ServiceNow and monitoring tools like Splunk and Dynatrace.
- Experience in software architecture principles patterns and methodologies including documentation using formal notations such as ArchiMate.
- Strong understanding of modern development practices including MLOps data pipelines and lifecycle management.
Skills:
- Strong analytical and problemsolving skills with a focus on delivering business value.
- Excellent communication and interpersonal skills to collaborate across teams and stakeholders.
- Ability to contextualize technical solutions with business goals and strategies.
- Expertise in identifying interdependencies applying holistic thinking and enabling seamless collaboration across teams.
Preferred:
- Certifications in cloud architecture (GCP Azure) or modern development practices are a merit.
- Experience with thirdparty vendor integration and procurement processes.
- Knowledge of AIdriven solutions for Predictive and Proactive Operations.
Specific Needs in Predictive and Proactive Operations:
- Strong background in data science statistical modeling and algorithm development.
- Proven ability to deliver AIdriven solutions for operational optimization.
- Focus on SLA compliance reducing MTTR and building scalable solutions to improve business resilience.
Please explain how you meet all the requirements when applying.
Utilization: 100%
Location:Stockholm
Period:
Last day to apply:
We present regularly.This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
