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Remote Aws Jobs in Baton Rouge, LA (NOW HIRING)

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

This position can be remote. The Impact You Will Have * Own the end-to-end AI/ML technical strategy ... Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML ...

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How much do remote aws jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote aws in Baton Rouge, LA is $51.90, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $61.88 per hour, depending on experience, location, and employer.

What are the qualifications to get a remote AWS job?

The qualifications you need differ based on your career choice. In many cases, a technology-related bachelor’s degree is necessary. You should pursue coursework and training that grants skills and experience with specific scripting language types, such as Ruby, Shell, Python, and Perl. Knowledge of monitoring tools, coding, and similar technology skills can also be helpful. For some positions, having a related certification may help you to stand out above the other applicants for a specific job.

What are some common challenges faced by remote AWS engineers, and how can they be addressed?

Remote AWS engineers often encounter challenges such as maintaining clear communication with geographically dispersed teams and managing cloud infrastructure securely from afar. To address these issues, it's important to use collaboration tools like Slack or Microsoft Teams, adhere to robust version control and documentation practices, and follow AWS security best practices such as using IAM roles and multi-factor authentication. Regular virtual meetings and clear project management protocols also help ensure everyone stays aligned and productive.

What is the difference between Remote Aws vs Remote Cloud Engineer?

AspectRemote AwsRemote Cloud Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified DeveloperAWS certifications, Azure, Google Cloud certifications
Work EnvironmentPrimarily cloud-based, AWS platform focusMulti-cloud or cloud-agnostic, various cloud platforms
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, retail
Job FocusDesigning, deploying, managing AWS infrastructureDesigning, deploying, managing cloud solutions across platforms

Remote Aws roles focus specifically on AWS cloud services, infrastructure, and certifications. Remote Cloud Engineer positions often require knowledge of multiple cloud platforms and broader cloud architecture skills. While both roles work remotely and in similar industries, Remote Aws specialists concentrate on AWS-specific tasks, whereas Remote Cloud Engineers handle multi-cloud environments.

Does remote AWS allow remote work?

Remote AWS roles typically allow employees to work from any location, provided they have reliable internet access and meet the company's requirements. Many organizations hiring for AWS positions offer fully remote options, especially for cloud engineering, DevOps, and support roles, with some requiring specific certifications or experience. It is important to review each employer's remote work policy for specific details.
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Infographic showing various Remote Aws job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,952 per year, or $51.9 per hour.

Specialist Solutions Architect - AI/ML

Databricks

Central, LA • On-site, Remote

$58.25 - $76.75/hr

Full-time

Posted 9 days ago

Job description

FEQ427R382

As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers - owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote. 

The Impact You Will Have

  • Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

  • 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
    • ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
    • AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  • Willingness to travel up to 30% as needed

Nice to Have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Apply