diff --git a/common/src/main/java/org/opensearch/ml/common/connector/MLPostProcessFunction.java b/common/src/main/java/org/opensearch/ml/common/connector/MLPostProcessFunction.java
index 5ba465b15a..9e4b2301bb 100644
--- a/common/src/main/java/org/opensearch/ml/common/connector/MLPostProcessFunction.java
+++ b/common/src/main/java/org/opensearch/ml/common/connector/MLPostProcessFunction.java
@@ -10,6 +10,7 @@
 import java.util.Map;
 import java.util.function.Function;
 
+import org.opensearch.ml.common.connector.functions.postprocess.BedrockBatchJobArnPostProcessFunction;
 import org.opensearch.ml.common.connector.functions.postprocess.BedrockEmbeddingPostProcessFunction;
 import org.opensearch.ml.common.connector.functions.postprocess.CohereRerankPostProcessFunction;
 import org.opensearch.ml.common.connector.functions.postprocess.EmbeddingPostProcessFunction;
@@ -20,6 +21,7 @@ public class MLPostProcessFunction {
     public static final String COHERE_EMBEDDING = "connector.post_process.cohere.embedding";
     public static final String OPENAI_EMBEDDING = "connector.post_process.openai.embedding";
     public static final String BEDROCK_EMBEDDING = "connector.post_process.bedrock.embedding";
+    public static final String BEDROCK_BATCH_JOB_ARN = "connector.post_process.bedrock.batch_job_arn";
     public static final String COHERE_RERANK = "connector.post_process.cohere.rerank";
     public static final String DEFAULT_EMBEDDING = "connector.post_process.default.embedding";
     public static final String DEFAULT_RERANK = "connector.post_process.default.rerank";
@@ -31,6 +33,7 @@ public class MLPostProcessFunction {
     static {
         EmbeddingPostProcessFunction embeddingPostProcessFunction = new EmbeddingPostProcessFunction();
         BedrockEmbeddingPostProcessFunction bedrockEmbeddingPostProcessFunction = new BedrockEmbeddingPostProcessFunction();
+        BedrockBatchJobArnPostProcessFunction batchJobArnPostProcessFunction = new BedrockBatchJobArnPostProcessFunction();
         CohereRerankPostProcessFunction cohereRerankPostProcessFunction = new CohereRerankPostProcessFunction();
         JSON_PATH_EXPRESSION.put(OPENAI_EMBEDDING, "$.data[*].embedding");
         JSON_PATH_EXPRESSION.put(COHERE_EMBEDDING, "$.embeddings");
@@ -42,6 +45,7 @@ public class MLPostProcessFunction {
         POST_PROCESS_FUNCTIONS.put(COHERE_EMBEDDING, embeddingPostProcessFunction);
         POST_PROCESS_FUNCTIONS.put(DEFAULT_EMBEDDING, embeddingPostProcessFunction);
         POST_PROCESS_FUNCTIONS.put(BEDROCK_EMBEDDING, bedrockEmbeddingPostProcessFunction);
+        POST_PROCESS_FUNCTIONS.put(BEDROCK_BATCH_JOB_ARN, batchJobArnPostProcessFunction);
         POST_PROCESS_FUNCTIONS.put(COHERE_RERANK, cohereRerankPostProcessFunction);
         POST_PROCESS_FUNCTIONS.put(DEFAULT_RERANK, cohereRerankPostProcessFunction);
     }
diff --git a/common/src/main/java/org/opensearch/ml/common/connector/functions/postprocess/BedrockBatchJobArnPostProcessFunction.java b/common/src/main/java/org/opensearch/ml/common/connector/functions/postprocess/BedrockBatchJobArnPostProcessFunction.java
new file mode 100644
index 0000000000..3b42f1c089
--- /dev/null
+++ b/common/src/main/java/org/opensearch/ml/common/connector/functions/postprocess/BedrockBatchJobArnPostProcessFunction.java
@@ -0,0 +1,44 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.ml.common.connector.functions.postprocess;
+
+import org.opensearch.ml.common.output.model.MLResultDataType;
+import org.opensearch.ml.common.output.model.ModelTensor;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class BedrockBatchJobArnPostProcessFunction extends ConnectorPostProcessFunction<List<Float>> {
+
+    @Override
+    public void validate(Object input) {
+        if (!(input instanceof List)) {
+            throw new IllegalArgumentException("Post process function input is not a List.");
+        }
+
+        List<?> outerList = (List<?>) input;
+
+        if (!outerList.isEmpty() && !(((List<?>) input).get(0) instanceof Number)) {
+            throw new IllegalArgumentException("The embedding should be a non-empty List containing Float values.");
+        }
+    }
+
+    @Override
+    public List<ModelTensor> process(List<Float> embedding) {
+        List<ModelTensor> modelTensors = new ArrayList<>();
+        modelTensors
+            .add(
+                ModelTensor
+                    .builder()
+                    .name("sentence_embedding")
+                    .dataType(MLResultDataType.FLOAT32)
+                    .shape(new long[] { embedding.size() })
+                    .data(embedding.toArray(new Number[0]))
+                    .build()
+            );
+        return modelTensors;
+    }
+}