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ML/LLM Technical Architect Job Opening In Colombia, Colombia – Now Hiring SoftServe


Job description

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise.

Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe's premier AI/ML hub, primarily based in Europe.

With 130+ experts, including data scientists, research analysts, MLOps engineers, ML and LLM architects, we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab, our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI, where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

  • Educated with a degree in Computer Science or a related field
  • Experienced in a similar position, including 2+ years of design and implementation of enterprise-scale AI/ML solutions in the AWS cloud using services such as Amazon SageMaker, AWS Bedrock, Amazon Kendra, AWS Glue, AWS Data Pipelines, Amazon Kinesis, Amazon Athena, and Amazon Redshift
  • Designing sustainable, scalable, and secure architectures, performing trade-off analysis of different architecture tactics and patterns, and applying proven architecture design approaches and methodologies, with a focus on GenAI and LLM-based solutions
  • Driving project roll-outs from requirements gathering to go-live and continuous improvement
  • Skilled in designing, building, or operationalizing Agentic AI systems, with hands-on experience leveraging frameworks like Amazon Bedrock Agents to create autonomous and goal-oriented GenAI solutions
  • Confident in customer-facing tasks related to discovery, assessment, execution, and operations for complex AI/ML/GenAI projects
  • Driving project roll-outs from requirements gathering to go-live and continuous improvement
  • Knowledgeable of EKS/ECS platforms and their design patterns for ML workloads
  • Confident upper-intermediate English speaker
  • Responsible for AI principles and practices, including model explainability, fairness, and security for GenAI (nice to have)
  • Experienced in pre-sales, enterprise consulting, or AI/ML advisory roles (would be a plus)

AND YOU WANT TO

  • Engage in a wide scope of AI and ML-related work, from foundational machine learning projects to advanced Generative AI applications
  • Bring your deep expertise in cloud architecture, DevOps, and MLOps/LLMOps to analyze and recommend enterprise-grade solutions for operationalizing the full spectrum of AI
  • Develop end-to-end MLOps/LLMOps pipelines on AWS, leveraging an in-depth understanding of the platform, the entire AI lifecycle, and business problems to ensure solutions are delivered efficiently, predictably, and sustainably
  • Prototype and demonstrate innovative solutions, including proof-of-concepts for diverse AI/ML use cases and specific GenAI applications, for clients in customer environments
  • Develop assets, accelerators, and reusable components for your practice, covering both established AI/ML methodologies and emerging GenAI and LLMOps space
  • Communicate use cases, technical requirements, architectural decisions, and expectations clearly with stakeholders at all levels
  • Guide Engineering and Data Science teams on the production lifecycle of ML systems, including best practices for building, deploying, and monitoring traditional ML models and LLM-powered applications
  • Educate Product teams on best practices for putting ML systems, including innovative GenAI features, into production reliably and responsibly

TOGETHER WE WILL

  • Operationalize our clients' AI solutions, from traditional ML to cutting-edge Generative AI applications, by leveraging best practices in Machine Learning, DevOps, LLMOps, and Solution Architecture
  • Maintain synergy among Data Scientists, DevOps teams, and ML Engineers to build robust infrastructure, set up efficient processes, productize machine learning and GenAI pipelines, and integrate them seamlessly into existing business environments
  • Participate in international events, conferences, and workshops to share our expertise and learn from the global AI community
  • Get certifications in cutting-edge technologies and continuously enhance our skills in the dynamic field of AI
  • Drive innovation by exploring and implementing novel AI and GenAI solutions that deliver significant business value for our clients
  • Have the possibility to work with the latest technologies on different projects and internal initiatives
  • Communicate with the world-leading companies from our logos portfolio
  • Work as a consultant on different projects with a flexible schedule

SoftServe is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

Let's put your talents and experience in motion with SoftServe

Required Skill Profession

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Unlock Your ML LLM Potential: Insight & Career Growth Guide


Real-time ML LLM Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for ML LLM in Colombia, Colombia, highlighting market share and opportunities for professionals in ML LLM roles.

1741 Jobs in Colombia
1741
11 Jobs in Colombia
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Download Ml Llm Jobs Trends in Colombia and Colombia

Are You Looking for ML/LLM Technical Architect Job?

Great news! is currently hiring and seeking a ML/LLM Technical Architect to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SoftServe adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for ML/LLM Technical Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for ML/LLM Technical Architect?

Key qualifications for ML/LLM Technical Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for ML/LLM Technical Architect Job Success

SoftServe interview tips for ML/LLM Technical Architect

Here are some tips to help you prepare for and ace your ML/LLM Technical Architect job interview:

Before the Interview:

Research: Learn about the SoftServe's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your ML/LLM Technical Architect interview at SoftServe, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SoftServe's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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